RAIL Lab
RAIL is a growing lab at Chalmers. We welcome motivated researchers who share our passion for athletic intelligence, optimal control, and open reproducible science.
Assistant Professor (Tenure Track) · Division of Dynamics · Chalmers University of Technology
Shivesh Kumar's research focuses on multi-body dynamics and optimal control theory with the aim of developing next-generation physical and athletic intelligence for robotic systems. He received his doctorate (summa cum laude) from the University of Bremen in 2019, and led the Team Mechanics & Control and the Underactuated Robotics Lab at the Robotics Innovation Center in DFKI Bremen (2020–2024) before joining Chalmers in October 2023.
He is the PI of the SSF Future Research Leader grant (15 MSEK, 2025–2030) and the WASP PhD project grant (4 MSEK, 2024–2029). He serves as Associate Editor for IEEE RA-L and IROS, and co-chairs the IEEE RAS Technical Committee on Optimization for Robotics. He was named a New Generation Star in Robotics at IEEE/RSJ IROS 2024 and has won several best paper awards.
Postdoctoral Researcher (starting June 2026)
Funded by the SSF Future Research Leader grant (FFL-9).
PhD Student (Co-supervised)
Machine-learning based fault diagnosis for rotordynamic systems. Co-supervised with Prof. Petri Piiroinen.
PhD Student
AI-based holistic co-design of legged robots. Funded by the SSF Future Research Leader grant (FFL-9).
PhD Student
Dynamics and Control of Legged Robots with Flexible Elements. Funded by the Department of Mechanical Engineering at Chalmers.
PhD Student
AI-driven constrained optimal control for bi-manual loco-manipulation. Funded by the WASP PhD project grant.
Project
Body Segment Parameter Identification for Human Digital Twins.
Project
Robust Visitor Tracking and Wait-For-User Behavior for Campus Tour Guide Robot Dog.
Project
Humanoid Balance and Step Recovery in Public Transportation Scenarios.
Project
Real-Time Procedural Audio-Motion Synchronization for the FIDO Quadruped.
Project
Learning Deployable Multi-Skill Legged Locomotion with Visual-Language Skill Selection.
We are always looking for motivated PhD students and postdoctoral researchers interested in underactuated robotics, optimal control, reinforcement learning, and hardware benchmarking. Master's thesis students at Chalmers are also welcome to reach out.
Send an email to shivesh.kumar@chalmers.se with your CV and a short description of your research interests.