Events & Talks

Perceiving Systems Talk 15-05-2020 Deep inverse rendering in the wild In this talk I will consider the problem of scene-level inverse rendering to recover shape, reflectance and lighting from a single, uncontrolled, outdoor image. This task is highly ill-posed, but we show that multiview self-supervision, a natural lighting prior and implicit lighting estimation allow an image-to-image CNN to solve the task, seemingly learning some general principles of shape-from-shading along the way. Adding a neural renderer and sky generator GAN, our approach allows us to synthesise photorealistic relit images under widely varying illumination. I will finish by briefly de... Timo Bolkart

Perceiving Systems Talk 14-05-2020 Computational Studio: A computational machinery to enhance social communication Licklider and Taylor (1968) envisioned computational machinery that could enable better communication between humans than face-to-face interaction. In the last fifty years, we have used computing to develop various means of communication, such as mail, messaging, phone calls, video conversation, and virtual reality. These are, however, a proxy of face-to-face communication that aims at encoding words, expressions, emotions, and body language at the source and decoding them reliably at the destination. The true revolution of personal computing has not begun yet because we have not been able ... Arjun Chandrasekaran Chun-Hao Paul Huang

Max Planck Lecture 12-05-2020 Water anomalies: from ice age to carbon Technological advances in laser and vacuum technology have allowed realizing a dream of the early days of quantum mechanics: controlling single, laser-cooled atoms at a quantum level. Interfacing individual atoms with ultracold gases offer new experimental approaches to unsolved problems of nonequilibrium quantum physics. Moreover, such systems allow experimentally addressing the question if and how quantum properties can boost the performance of atomic-scale devices. In this talk, I will discuss how single atoms can be controlled and probed in an ultracold gas. Understanding the impuri...

Max Planck Lecture 05-05-2020 The d-wave paradigm of unconventional superconductors As famously introduced in the context of copper oxide superconductors, Cooper pairing ofelectrons through a d-wave order parameter constitutes a central departure from theconventional microscopic picture of phonon-mediated s-wave superconductivity. Fordecades, copper oxide superconductors remained the predominant arena for d-wavepairing. In recent years, however, d-wave superconductivity witnesses significant diversification in terms of materials realizations, such as Na-doped cobaltates, pnictides atstrong hole doping, and, most recently, infinite layer nickelates as well as strontiumruthe...

Max Planck Lecture 28-04-2020 Engineering single-atom devices in ultracold gases Technological advances in laser and vacuum technology have allowed realizing a dream of the early days of quantum mechanics: controlling single, laser-cooled atoms at a quantum level. Interfacing individual atoms with ultracold gases offer new experimental approaches to unsolved problems of nonequilibrium quantum physics. Moreover, such systems allow experimentally addressing the question if and how quantum properties can boost the performance of atomic-scale devices. In this talk, I will discuss how single atoms can be controlled and probed in an ultracold gas. Understanding the impuri...

Max Planck Lecture 21-04-2020 Ultrafast Surface Dynamics and Local Spectroscopy at the Nanoscale In a Born-Oppenheimer description, atomic motions evolve across a potential energy surface determined by the occupation of electronic states as a function of atom positions. Ultrafast photo-induced phase transitions provide a test case for how the forces and resulting nuclear motion along the reaction co-ordinate originate from a non-equilibrium population of excited electronic states. Here I discuss recent advances in time-resolved photoemission spectroscopy allowing for direct probing of the underlying fundamental steps and the transiently evolving band structure in the ultrafast phase t... Joachim Gräfe

Perceiving Systems Talk 16-04-2020 Handling Occlusion by Cross View Fusion for 3D Human Pose Estimation Accurate 3D human pose estimation has been a longstanding goal in computer vision. However, till now, it has only gained limited success in easy scenarios such as studios which have little occlusion. In this talk, I will present our two works aiming to address the occlusion problem in realistic scenarios. In the first work, we present an approach to recover absolute 3D human pose of single person from multi-view images by incorporating multi-view geometric priors in our model. It consists of two separate steps: (1) estimating the 2D poses in multi-view images and (2) recovering the 3D po... Chun-Hao Paul Huang

Max Planck Lecture 14-04-2020 How to tie an optical field into a knot Tying a knot in a piece of string can be a hard practical problem.

Talk 30-03-2020 MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms Traditional voice conversion methods rely on parallel recordings of multiple speakers pronouncing the same sentences. For real-world applications however, parallel data is rarely available. We propose MelGAN-VC, a voice conversion method that relies on non-parallel speech data and is able to convert audio signals of arbitrary length from a source voice to a target voice. We firstly compute spectrograms from waveform data and then perform a domain translation using a Generative Adversarial Network (GAN) architecture. An additional siamese network helps preserving speech information in the tr...

Event 26-03-2020 Girls' Day 2020 - ABGESAGT Girls‘ Day 2020 – der Stuttgarter Max-Planck-Campus macht wieder mit! 40 Schülerinnen entdecken den spannenden Beruf der Forscherin und Wissenschaftlerin. Barbara Kettemann

Perceiving Systems Talk 26-03-2020 Learning to Model 3D Human Face Geometry In this talk I will present an overview of our recent works that learn deep geometric models for the 3D face from large datasets of scans. Priors for the 3D face are crucial for many applications: to constrain ill posed problems such as 3D reconstruction from monocular input, for efficient generation and animation of 3D virtual avatars, or even in medical domains such as recognition of craniofacial disorders. Generative models of the face have been widely used for this task, as well as deep learning approaches that have recently emerged as a robust alternative. Barring a few exceptions, mos... Jinlong Yang

Physical Intelligence Talk 23-03-2020 CANCELLED: Controlling biophysical properties across scales: Functional materials for cellular sensing and signal transduction In this talk I will discuss the development of functional materials and their application in modulating the biological microenvironment during cellular sensing and signal transduction. First, I’ll briefly summarize the mechanical, biochemical and physicochemical material properties that influence cellular sensing and subsequent integration with the tissues at the macroscale. Controlling signal transduction at the submicron scale, however, requires careful materials engineering to address the need for minimally invasive targeting of single proteins and for providing sufficient physical stimu...

Physical Intelligence Talk 23-03-2020 Cancelled: Electro-active Ionic Elastomers Motivated by the low voltage driven actuation of ionic Electroactive Polymers (iEAPs) [1] [2], recently we began investigating ionic elastomers. In this talk I will discuss the preparation, physical characterization and electric bending actuation properties of two novel ionic elastomers; ionic polymer electrolyte membranes (iPEM)[3], and ionic liquid crystal elastomers (iLCE).[4] Both materials can be actuated by low frequency AC or DC voltages of less than 1 V. The bending actuation properties of the iPEMs are outperforming most of the well-developed iEAPs, and the not optimize...

Physical Intelligence Talk 12-03-2020 Advanced optoacoustic methods for biological discovery and precision diagnostics Optoacoustic imaging is increasingly attracting the attention of the biomedical research community due to its excellent spatial and temporal resolution, centimeter scale penetration into living tissues, versatile endogenous and exogenous optical absorption contrast. State-of-the-art implementations of multi-spectral optoacoustic tomography (MSOT) are based on multi-wavelength excitation of tissues to visualize specific molecules within opaque tissues. As a result, the technology can noninvasively deliver structural, functional, metabolic, and molecular information from living tissues. The ... Metin Sitti

Intelligent Control Systems Talk 25-02-2020 Safe Learning Control for Gaussian Process Models Machine learning allows automated systems to identify structures and physical laws based on measured data, which is particularly useful in areas where an analytic derivation of a model is too tedious or not possible. Research in reinforcement learning led to impressive results and superhuman performance in well-structured tasks and games. However, to this day, data-driven models are rarely employed in the control of safety critical systems, because the success of a controller, which is based on these models, cannot be guaranteed. Therefore, the research presented in this talk analyzes the c... Sebastian Trimpe

Physical Intelligence Talk 14-02-2020 Integrated spintrophoretic platform toward multiplexed cell tweezers The precise delivery of bio-functionalized matters is of great interest from the fundamental and applied viewpoints. Particularly, most existing single cell platforms are unable to achieve large scale operation with flexibility on cells and digital manipulation towards multiplex cell tweezers. Thus, there is an urgent need of innovative techniques to accomplish the automation of single cells. Recently, the flexibility of magnetic shuttling technology using nano/micro scale magnets for the manipulation of particles has gained significant advances and has been used for a wide variet...

Perceiving Systems Talk 06-02-2020 Active motion generation using musculo-skeletal models Biological motion is fascinating in almost every aspect you look upon it. Especially locomotion plays a crucial part in the evolution of life. Structures, like the bones connected by joints, soft and connective tissues and contracting proteins in a muscle-tendon unit enable and prescribe the respective species' specific locomotion pattern. Most importantly, biological motion is autonomously learned, it is untethered as there is no external energy supply and typical for vertebrates, it's muscle-driven. This talk is focused on human motion. Digital models and biologically inspired ... Ahmed Osman

Talk 30-01-2020 Systems and Control Theory for Intelligent Systems Feedback based automatic control has been a key enabling technology for many technological advances over the past 80 years. New application domains, like autonomous cars driving on automated highways, energy distribution via smart grids, life in smart cities or the new production paradigm Industry 4.0 do, however, require a new type of cybernetic systems and control theory that goes beyond some of the classical ideas. Starting from the concept of feedback and its significance in nature and technology, we will present in this talk some new developments and challenges in connection to the con... Leila Masri Sara Sorce Katherine J. Kuchenbecker

Talk 29-01-2020 Explaining and Representing Novel Concepts With Minimal Supervision Clearly explaining a rationale for a classification decision to an end-user can be as important as the decision itself. Existing approaches for deep visual recognition are generally opaque and do not output any justification text; contemporary vision-language models can describe image content but fail to take into account class-discriminative image properties which justify visual predictions. In this talk, I will present my past and current work on Zero-Shot Learning, Vision and Language for Generative Modeling and Explainable Machine Learning where we show (1) how to generalize image class... Leila Masri Sara Sorce Katherine J. Kuchenbecker

Event 28-01-2020 - 31-01-2020 Fourth IMPRS-IS Symposium You are cordially invited to attend the talks, join in scientific discussions, and help the applicants get to know the larger IMPRS-IS community. Leila Masri Sara Sorce Katherine J. Kuchenbecker

Haptic Intelligence Talk 28-01-2020 Human Tactile Afferent Responses during the Onset of Slip During manipulation, humans adjust the amount of force applied to an object depending on friction: they exert a stronger grip for slippery surfaces and a looser grip for sticky surfaces. However, the neural mechanisms signaling friction remain unclear. To fill this gap, we recorded the response of human tactile afferent during the onset of slip against flat surfaces of different frictions. We observed that some afferents responded to partial slip events occurring during transition from a stuck to a slipping contact, and potentially signaling the impending slip. Katherine J. Kuchenbecker Ilona Jacobi

Haptic Intelligence Talk 27-01-2020 Vibrotactile Devices: Haptic Feedback to Enhance Sensation or Modify Gait Wearable sensing and feedback devices are becoming increasingly ubiquitous for measuring human movement in research laboratories, medical clinics, and in consumer goods. Advances in computation and miniaturization have enabled sensing for gait assessment; these technologies are then used in interventions to provide feedback that facilitates changes in gait or enhances sensory capabilities. This talk will focus on vibration as the primary method of providing feedback. I will discuss the use of vibrotactile arrays to communicate plantar foot pressure in users of lower-limb prosthetics, as a s... Katherine J. Kuchenbecker Ilona Jacobi

Haptic Intelligence Talk 24-01-2020 Search-Based Planning for High-Dimensional Robotic Systems Search-based Planning refers to planning by constructing a graph from systematic discretization of the state- and action-space of a robot and then employing a heuristic search to find an optimal path from the start to the goal vertex in this graph. This paradigm works well for low-dimensional robotic systems such as mobile robots and provides rigorous guarantees on solution quality. However, when it comes to planning for higher-dimensional robotic systems such as mobile manipulators, humanoids and ground and aerial vehicles navigating at high-speed, Search-based Planning has been typically ... Katherine J. Kuchenbecker Ilona Jacobi

Intelligent Control Systems Talk 20-01-2020 Cyber security and privacy in networked control systems Security and privacy is of growing concern in many control applications. Cyber attacks are frequently reported for a variety of industrial and infrastructure systems. For more than a decade the control community has developed techniques for how to design control systems resilient to cyber-physical attacks. In this talk, we will review some of these results. In particular, as cyber and physical components of networked control systems are tightly interconnected, it is be argued that traditional IT security focusing only on the cyber part does not provide appropriate solutions. Modeling the ob... Sebastian Trimpe Dominik Baumann

IS Colloquium 09-01-2020 Dynamics of Decisions Machine learning increasingly supports consequential decisions in domains including health, employment, and criminal justice. Consequential decision making is inherently dynamic: Individuals, their outcomes, and entire populations can change and adapt in response to classification. Traditional machine learning, however, fails to account for such dynamic effects. In this talk, I will highlight three different vignettes of dynamic decision making. The first is about how classification changes populations and how this perspective is essential to questions of fairness in machine learning. The ... Metin Sitti

Physical Intelligence IS Colloquium 09-01-2020 Kirigami-Inspired Metamaterials - from Morphable Structures to Soft Robots In the search for materials with new properties, there have been great advances in recent years aimed at the construction of mechanical systems whose behaviour is governed by structure, rather than composition. Through careful design of the material’s architecture, new material properties have been demonstrated, including negative Poisson’s ratio, high stiffness-to-weight ratio and mechanical cloaking. While originally the field focused on achieving unusual (zero or negative) values for familiar mechanical parameters, more recently it has been shown that non-linearities can be exploited to ... Metin Sitti

IS Colloquium 19-12-2019 Helping leaders and organizations unleash the true potential of diversity and inclusion in our radically transforming world of work Recent economic, technological, and societal changes (e.g., the shift from large organizations to decentralized networks of individuals/small businesses, #metoo movement) require organizations to adapt to the transforming nature of work by altering the way work is performed and the roles that workers play. Due to globalization and advanced communication technologies, modern organizations are also characterized by a diverse workforce that needs to be carefully managed. Therefore organizational leaders must take on the challenge of unleashing the true potential of diversity and inclusion by c... Katherine J. Kuchenbecker

Physical Intelligence Talk 19-12-2019 Robust Planning and Decision -- Towards Safe Robot Tasks and Motions in Complex Environments The demand for safe, robust, and intelligent robotic systems is growing rapidly, given their potential to make our societies more productive and increase our welfare. To achieve this, robots are increasingly expected to operate in human-populated environments, maneuver in remote and cluttered environments, maintain and repair facilities, take care of our health, and streamline manufacturing and assembly lines. However, computational issues limit the ability of robots to plan complex motions in constrained and contact-rich environments, interact with humans safely, and exploit dynamics to gr... Metin Sitti

Dynamic Locomotion Talk 18-12-2019 Fernanda Bribiesca: Biomechanics and functional morphology of the avian wing Fernanda Bribiesca-Contreras' doctoral research investigates the form and function relationship of the wing muscles and its implication with aerial and underwater flight. Alexander Badri-Spröwitz

Haptic Intelligence IS Colloquium 13-12-2019 Haptic Intelligence (colloquium organized by the MPI for Biological Cybernetics) Our scientific understanding of haptic interaction is still evolving, both because what you feel greatly depends on how you move, and because engineered sensors, actuators, and algorithms typically struggle to match human capabilities. Consequently, few computer and machine interfaces provide the human operator with high-fidelity touch feedback or carefully analyze the physical signals generated during haptic interactions, limiting their usability. The crucial role of the sense of touch is also deeply appreciated by researchers working to create autonomous robots that can competently manipu...

Haptic Intelligence IS Colloquium 06-12-2019 Automatic Authoring of Haptic Content Providing rich and immersive physical experiences to users has become an essential component in many computer-interactive applications, where haptics plays a central role. However, as with other sensory modalities, modeling and rendering good haptic experiences with plausible physicality is a very demanding task in terms of the cost associated with modeling and authoring, not to mention the cost for development. No general and widely-used solutions exist yet for that; most designers and developers rely on their in-house programs, or even worse, manual coding. This talk will introduce the re... Katherine J. Kuchenbecker

Perceiving Systems Talk 28-11-2019 Neural State Machine for Character-Scene Interactions In this talk, I will present about the most recent advances in data-driven character animation and control using neural networks. Creating key-framed animations by hand is typically very time-consuming and requires a lot of artistic expertise and training. Recent work applying deep learning for character animation was firstly able to compete or even outperform the quality that could be achieved by professional animators for biped locomotion, and thus caused a lot excitement in both academia and industry. Shortly after, following research also demonstrated its applicability to quadruped l... Joachim Tesch Ahmed Osman

Perceiving Systems Talk 21-11-2019 Body models for research on eating behavior, physical activity and body representation The body is one of the most relevant aspects of our self, and we shape it through our eating behavior and physical acitivity. As a psychologist and neuroscientist, I seek to disentangle mutual interactions between how we represent our own body, what we eat and how much we exercise. In the talk, I will give a scoping overview of this approach and present the studies I am conducting as a guest scientist at PS. Ahmed Osman

Physical Intelligence Talk 08-11-2019 Electromechanical transducers for energy harvesting, sensing, and actuation In this talk, Majid Taghavi will briefly discuss the demand for high-performance electromechanical transducers, the current challenges, and approaches he has been pursuing to tackle them. He will discuss multiple electromechanical concepts and devices that he has delivered for low-power energy harvesting, self-powered sensors, and artificial muscle technologies. Majid Taghavi will look into piezoelectric, triboelectric, electrostatic, dielectrophoretic, and androphilic phenomena, and will show his observations and innovations in coupling physical phenomena and developing smart materials and... Metin Sitti

Physical Intelligence Talk 04-11-2019 Liquid-elastomer composites: from basic physics to functional materials Prof. Eric Dufresne will describe some experiments on some simple composites of elastomers and droplets. First, we will consider their composite mechanical properties. He will show how simple liquid droplets can counterintuitively stiffen the material, and how magnetorheological fluid droplets can provide elastomers with magnetically switchable shape memory. Second, we consider the nucleation, growth, and ripening of droplets within an elastomer. Here, a variety of interesting phenomena emerge: size-tunable monodisperse droplets, shape-tunable droplets, and ripening of droplets along st... Metin Sitti

Perceiving Systems Talk 23-10-2019 Computational Ecology and AI for Conservation Computation has fundamentally changed the way we study nature. New data collection technology, such as GPS, high definition cameras, UAVs, genotyping, and crowdsourcing, are generating data about wild populations that are orders of magnitude richer than any previously collected. Unfortunately, in this domain as in many others, our ability to analyze data lags substantially behind our ability to collect it. In this talk I will show how computational approaches can be part of every stage of the scientific process of understanding animal sociality, from intelligent data collection (crowdsourci... Aamir Ahmad

Talk 19-10-2019 - 23-10-2019 The central-peripheral dichotomy in the top-down Feedback in visual recognition. 49th Annual Meeting of the Society for Neuroscience

Event 14-10-2019 - 15-10-2019 WASP Intelligent Systems Colloquium (WISC) This two-day event is designed to bring together members of Germany's Max Planck Institute for Intelligent Systems (MPI-IS) with a large group of faculty and PhD students from Sweden's Wallenberg AI, Autonomous Systems and Software Program (WASP). Katherine J. Kuchenbecker Leila Masri Sara Sorce

Physical Intelligence Talk 09-10-2019 Lifesaving Capsule Robots and New Opportunites: Manufacturing for Robotics <strong>Prof. Pietro Valdastri's </strong>talk will focus on Medical Capsule Robots. Capsule robots are cm-size devices that leverage extreme miniaturization to access and operate in environments that are out of reach for larger robots. In medicine, capsule robots can be designed to be swallowed like a pill and to diagnose and treat mortal diseases, such as cancer. The talk will move from capsule robots for the inspection of the digestive tract toward a new generation of surgical robots and devices, having a relevant reduction in size, invasiveness, and cost as the main drivers for innovati...

Perceiving Systems Talk 27-09-2019 Learning Visual Dynamics Models of Rigid Objects Using Relational Inductive Biases Endowing robots with human-like physical reasoning abilities remains challenging. We argue that existing methods often disregard spatio-temporal relations and by using Graph Neural Networks (GNNs) that incorporate a relational inductive bias, we can shift the learning process towards exploiting relations. In this work, we learn action-conditional forward dynamics models of a simulated manipulation task from visual observations involving cluttered and irregularly shaped objects. We investigate two GNN approaches and empirically assess their capability to generalize to scenarios with novel an... Siyu Tang

Perceiving Systems Talk 26-09-2019 Inferring the models of rigid and articulated objects from images: from 2D keypoints to 3D shape and appearance In the first part of the talk, I am going to present our work on human pose estimation in the Wild, capturing unconstrained images and videos containing an a priori unknown number of people, often occluded and exhibiting a wide range of articulations and appearances. Unlike conventional top-down approaches that first detect humans with the off-the-shelf object detector and then estimate poses independently per bounding box, our formulation performs joint detection and pose estimation. In the first stage we indiscriminately localise body parts of every person in the image with the state-of-t... David Hoffmann Siyu Tang

Physical Intelligence Talk 26-09-2019 Soft Aerial Robotics for Infrastructure Manufacturing Future cities and infrastructure systems will evolve into complex conglomerates where autonomous aerial, aquatic and ground-based robots will coexist with people and cooperate in symbiosis. To create this human-robot ecosystem, robots will need to respond more flexibly, robustly and efficiently than they do today. They will need to be designed with the ability to move across terrain boundaries and physically interact with infrastructure elements to perform sensing and intervention tasks. Taking inspiration from nature, aerial robotic systems can integrate multi-functional morphology, new ma... Metin Sitti

Haptic Intelligence IS Colloquium 25-09-2019 From Fingertip Skin Mechanics to Dexterous Object Manipulation Fingertip skin friction plays a critical role during object manipulation. We will describe a simple and reliable method to estimate the fingertip static coefficient of friction (CF) continuously and quickly during object manipulation, and we will describe a global expression of the CF as a function of the normal force and fingertip moisture. Then we will show how skin hydration modifies the skin deformation dynamics during grip-like contacts. Certain motor behaviours observed during object manipulation could be explained by the effects of skin hydration. Then the biomechanics of the partial... Katherine J. Kuchenbecker David Gueorguiev

Physical Intelligence Talk 25-09-2019 Mag-Guider: permanent magnet systems to steer and image superparamagnetic A new concept of using permanent magnet systems for guiding superparamagnetic nano-particles (SPP) on arbitrary trajectories over a large volume is presented. The same instrument can also be used for magnetic resonance imaging (MRI) using the inherent contrast of the SPP [1]. The basic idea is to use one magnet system, which provides a strong, homogeneous, dipolar magnetic field to magnetize and orient the particles, and a second constantly graded, quadrupolar field, superimposed on the first, to generate a force on the oriented particles. As a result, particles are guided with constant f... Metin Sitti

Intelligent Control Systems Talk 19-09-2019 A Dynamical Systems Perspective on Optimization with Momentum My talk will be divided into two parts. In the first part, I will analyze Nesterov's accelerated gradient method from a dynamical systems point of view. More precisely, I will derive the accelerated gradient method by discretizing an ordinary differential equation with a semi-implicit Euler integration scheme. I will analyze both the ordinary differential equation and the discretization for obtaining insights into the phenomenon of acceleration. In particular, geometric properties of the dynamics, such as asymptotic stability, time-reversibility, and phase-space volume contraction are shown... Sebastian Trimpe

Perceiving Systems Talk 19-09-2019 How to make your agent gesture in a natural way? Conversational agents in the form of virtual agents or social robots are rapidly becoming wide-spread. Humans use non-verbal behaviors to signal their intent, emotions and attitudes in human-human interactions. Conversational agents therefore need this ability as well in order to make an interaction pleasant and efficient. An important part of non-verbal communication is gesticulation: gestures communicate a large share of non-verbal content. Previous systems for gesture production were typically rule-based and could not represent the range of human gestures. Recently the gesture generation... Mohamed Hassan Soubhik Sanyal

Dynamic Locomotion Event 17-09-2019 - 18-09-2019 Workshop organized at Bernstein conference 2019, Berlin On September 17-18, Charlotte and Alexander are organising the workshop: 'Integrating neuroscience and biomechanics: the neuromechanics of motor coordination in humans and other animals'. This is a satellite workshop prior to the Bernstein conference 2019 in Berlin. Join us these two days, for an exciting line of speakers (see link 'more information'). Charlotte Le Mouel Alexander Badri-Spröwitz

Haptic Intelligence IS Colloquium 11-09-2019 Haptic Intelligence in Surgical Learning - Lessons from Laparoscopy and Robotics Surgery is a demanding activity that places a human life in the hands of others. However, innovations in minimally invasive surgery have physically separated surgeons' hands from their patients, creating the need for surgeons and their tools to develop both natural and artificial haptic intelligence. This lecture examines the essential role of haptic intelligence in skill development for laparoscopic and robotic surgery. Katherine J. Kuchenbecker

Intelligent Control Systems Talk 10-09-2019 Feedback-Control for Self-Adaptive Predictable Computing Cloud computing gives the illusion of infinite computational capacity and allows for on-demand resource provisioning. As a result, over the last few years, the cloud computing model has experienced widespread industrial adoption and companies like Netflix offloaded their entire infrastructure to the cloud. However, with even the largest datacenter being of a finite size, cloud infrastructures have experienced overload due to overbooking or transient failures. In essence, this is an excellent opportunity for the design of control solutions, that tackle the problem of mitigating overload peak... Sebastian Trimpe

Haptic Intelligence IS Colloquium 03-09-2019 A New Framework to Understanding Biological Vision Visual attention selects a tiny amount of information that can be deeply processed by the brain, and gaze shifts bring the selected visual object to fovea, the center of the visual field, for better visual decoding or recognition of the selected objects. Therefore, central and peripheral vision should differ qualitatively in visual decoding, rather than just quantitatively in visual acuity. Katherine J. Kuchenbecker

Research

Departments

Research Groups

People

Contact

Our Institute

Our History

Career

Doctoral Programs

Training

Service Units

Central Scientific Facilities

Workshops

Campus Services

Impact

Cooperation

Partners and Initiatives