Shivesh Kumar
Chalmers University of Technology, Deutschen Forschungszentrums für Künstliche Intelligenz (DFKI) GmbH, University of Bremen, École Centrale de Nantes, National Institute of Technology Karnataka
Research areas: Engineering · Control and Systems Engineering · Robotic Mechanisms and Dynamics · Robotic Locomotion and Control · Soft Robotics and Applications
0000-0002-6254-3882
About
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.
Employment
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Chalmers University of Technology Assistant Professor2023 - Present
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Deutschen Forschungszentrums für Künstliche Intelligenz (DFKI) GmbH Researcher2015 - Present
Education
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University of Bremen Dr. rer. nat.2016 - 2019
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Ecole Centrale de Nantes Masters of Science in Control Engineering, Robotics and Applied Informatics (Advanced Robotics Track)2013 - 2015
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National Institute of Technology Karnataka Bachelors of Technology2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (94)
- A Recursive Lie-Group Formulation for the Second-Order Time Derivatives of the Inverse Dynamics of Parallel Kinematic Manipulators Save
- A full-scale multibody dynamics framework for simulation-driven transfer learning in bearing fault diagnosis Save
- Adaptive Model-Based Control of Quadrupeds via Online System Identification using Kalman Filter Save
- Closed Form Time Derivatives of the Equations of Motion of Rigid Body Systems Save
- Iterative Linear Quadratic Regulator for Quantum Optimal Control Save
- Iterative Linear Quadratic Regulator for Quantum Optimal Control Save
- Machine-Learning Based Fault Diagnosis for a Rotordynamic System Using Multibody Simulations Save
- Parallel Transmission Aware Co-Design: Enhancing Manipulator Performance Through Actuation-Space Optimization Save
- Parallel Transmission Aware Co-Design: Enhancing Manipulator Performance Through Actuation-Space Optimization Save
- Reinforcement Learning for Robust Athletic Intel-ligence: Lessons Learned From the Second AI Olympics With RealAIGym Competition Save
- Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd “AI Olympics with RealAIGym” Competition Save
- The 2025 Summer School on Optimization for Robotics [Education] Save
- 2-DOF orientational parallel mechanisms Save
- 3-DOF orientational parallel mechanism Save
- BIOLOGICALLY INSPIRED SERIES-PARALLEL HYBRID ROBOTS: Design, Analysis, and Control Save
- Co-designing versatile quadruped robots for dynamic and energy-efficient motions Save
- Enhancing Otological Surgery: Co-Designing a Parallel Robot with Surgeon Input Save
- Forward dynamics with constraint embedding for dynamic simulation Save
- HyRoDyn: Hybrid Robot Dynamics Save
- Kinematics and dynamics of tree type systems Save