Shivesh Kumar
Shivesh Kumar is an Assistant Professor in Dynamics and Control of Mechanical Systems at the Dynamics Division of Department of Mechanical and Maritime Sciences at Chalmers University of Technology. His research interests include kinematics, dynamics and control of robots with a pursuit to develop animal-like physical/athletic intelligence. He also works as a part-time Senior Researcher at the Robotics Innovation Center, German Research Center for Artificial Intelligence in Bremen, Germany where he maintains an advisory relationship with the Advanced AI Team: Team Mechanics & Control and the Underactuated Robotics Lab. He is an associate co-chair of the IEEE-RAS Technical Committee on Model Based Optimization for Robotics. He obtained his PhD degree (Dr. rer. nat.) from Faculty of Mathematics and Computer Science at the University of Bremen in November 2019. Previously, he holds a Masters degree in Control Engineering, Robotics, and Applied Informatics with specialization in Advanced Robotics from Ecole Centrale de Nantes, France in 2015 and Bachelors degree in Mechanical Engineering from National Institute of Technology Karnataka, India in 2013.
Showing 13 publications
The 2025 Summer School on Optimization for Robotics [Education]
Machine-Learning Based Fault Diagno- sis for a Rotordynamic System Using Multibody Simulations
Iterative Linear Quadratic Regulator for Quantum Optimal Control
Model Predictive Parkour Control of a Monoped Hopper in Dynamically Changing Environments
Ricmonk: A Three-Link Brachiation Robot with Passive Grippers for Energy-Efficient Brachiation
Kinetostatic Analysis for 6RUS Parallel Continuum Robot Using Cosserat Rod Theory
Robust Co-Design of Canonical Underactuated Systems for Increased Certifiable Stability
Sitting, Standing and Walking Control of the Series-Parallel Hybrid Recupera-Reha Exoskeleton
Fast Dynamic Walking with RH5 Humanoid Robot
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Showing 6 research projects
AI-baserad holistisk samdesign av gående robotar
Towards Digital Twins of the Human Body for Personalized Safety
AI-Driven Constrained Optimal Control for Bi-manual Loco-Manipulation
Crystalline nanocellulose for biobased aerospace vehicles