Yiannis Karayiannidis
Yiannis Karayiannidis (Docent 2017, Phd Eng. 2009, Diploma Eng. 2004) is Senior Researcher (equivalent to Associate Professor/Research) with the Division of Systems and Control (SYSCON), Department of Electrical Engineering (E2) at Chalmers University of Technology. He is also affiliated with the Dept. of Robotics, Perception and Learning (RPL former CVAP) at KTH, Royal Institute of Technology. He serves as Associate Editor for the IEEE Robotics and Automation Letters, IEEE/RSJ International Conference on Intelligent Robots (IROS) and Systems and the European Control Conference(ECC), and has been a reviewer for the major scientific journals specialised in robotics and automatic control. He is a WASP-affilated researcher and also serves as the treasurer of the IEEE Robotics Chapter in Sweden. He has been the PI for national (DARMA and DARMA_bridge by WASP, CHROMA by VR) but also for the H2020 SARAFun project representing KTH (ended in 2018.) His research interests include robot control, robotic manipulation in human-centered environments, dual arm manipulation, force control, robotic assembly, control of physical human-robot interaction, multi-agent robotic systems, adaptive control and nonlinear control systems.
Showing 49 publications
A survey of robot manipulation in contact
Trajectory Scaling for Reactive Motion Planning
Asymmetric Dual-Arm Task Execution Using an Extended Relative Jacobian
Planning and Control for Cable-routing with Dual-arm Robot
ReForm: A Robot Learning Sandbox for Deformable Linear Object Manipulation
Temporal Coupling of Dynamical Movement Primitives for Constrained Velocities and Accelerations
Learning Shape Control of Elastoplastic Deformable Linear Objects
Modelling and Learning Dynamics for Robotic Food-Cutting
Monte Carlo Filtering Objectives
Presenting ReForm, a Robot Learning Sandbox for Deformable Linear Object Manipulation
Task-based role adaptation for human-robot cooperative object handling
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Motion Prediction Based on Multiple Futures for Dynamic Obstacle Avoidance of Mobile Robots
Discrete Bimanual Manipulation for Wrench Balancing
Shape Control of Elastoplastic Deformable Linear Objects through Reinforcement Learning
Comparison of CNN and LSTM for modeling virtual sensors in an engine
Amortized Variational Inference for Road Friction Estimation
Human grasp position estimation for human–robot cooperative object manipulation
Robotic Assembly of Rounded Parts With and Without Threads
Adaptive Trajectory Generation under Velocity Constraints using Dynamical Movement Primitives
Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting
A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution
Cooperative Manipulation and Identification of a 2-DOF Articulated Object by a Dual-Arm Robot
Human Motion Prediction in Human-Robot Handovers based on Dynamic Movement Primitives
Universal, Open Source, Myoelectric Interface for Assistive Devices
Physical Human-Robot Interaction through a Jointly-held Object based on Kinesthetic Perception
Reducing the human effort for human-robot cooperative object manipulation via control design
Multi-Agent Second Order Average Consensus With Prescribed Transient Behavior
Dexterous manipulation by means of compliant grasps and external contacts
Dexterous manipulation with compliant grasps and external contacts
Folding Assembly by Means of Dual-Arm Robotic Manipulation
An Adaptive Control Approach for Opening Doors and Drawers Under Uncertainties
Whole Body Control of a Dual-Arm Mobile Robot Using a Virtual Kinematic Chain
Adaptive control for pivoting with visual and tactile feedback
Bimanual folding assembly: Switched control and contact point estimation
Posture regulation for unicycle-like robots with prescribed performance guarantees
A Hybrid Control Approach to Task Priority Based Mobile Manipulation
Force/Position/Rolling Control For Spherical Tip Robotic Fingers
Robot Control for Task Performance and Enhanced Safety under Impact
In-Hand Manipulation Using Gravity and Controlled Slip
Predicting Slippage and Learning Manipulation Affordances through Gaussian Process Regression
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Showing 3 research projects
Learning & Understanding Human-Centered Robotic Manipulation Strategies
Vision and machine learning for collaborative robotics