Roboticist · Postdoctoral Research Fellow

Designing collaborative robots that move with people—not around them.

I work with Prof. Dongheui Lee at TU Wien to advance safe human-robot collaboration, force-aware manipulation, and learning systems. My Ph.D. in Mechanical Engineering from IIT Gandhinagar (2024 gold medal) focused on human-inspired learning controllers for manipulators.

safe Human-Robot Collaboration Nonlinear Control Robot Learning
Portrait of Shail Jadav

Shail Jadav

Vienna, Austria · TU Wien Autonomous Systems Lab
  • Doctorate Ph.D., Mechanical Engineering, IIT Gandhinagar (2024 — Gold Medal).
  • Previous Residencies Visiting researcher at TU Wien (pre-doc) and The University of Texas at Austin (gait therapy systems).

I am a Postdoctoral Research Fellow at the Technical University of Vienna (TU Wien), working with Prof. Dongheui Lee. My research focuses on advancing safe and efficient human-robot collaboration through robotics and control theory. I apply concepts from nonlinear control and robot learning to various manipulators and grasping systems.

I completed my Ph.D. in Mechanical Engineering at IIT Gandhinagar in 2024, where I worked alongside Prof. Harish PM to develop human-inspired learning controllers and motion planners for robotic manipulators, earning a gold medal for innovation.

Recognitions & Fellowships

Support that lets me keep building high-impact robotics with multidisciplinary teams.

  • Gold Medal for innovation at IIT Gandhinagar's 13th convocation (2024).
  • DST NIDHI PRAYAS grant for adaptive motion controllers.
  • IEEE RAS & SPARC travel grants for international collaborations.
  • IITGN Overseas Research Fellowship for TU Wien residency and Boeing BUILD Bootcamp regional win.

Latest News

Milestones from TU Wien, IIT Gandhinagar, and partner labs.

May 2025

REASSEMBLE, our multimodal dataset for contact-rich assembly & disassembly, has been accepted to RSS 2025.

May 2024

Completed my Ph.D. at IIT Gandhinagar with a gold medal celebrating outstanding innovation.

May 2024

Presented our shared-autonomy paper at ICRA 2024 in Yokohama, showcasing SALADS for co-manufacturing.

Featured Publications

Peer-reviewed research across human-robot collaboration, control theory, and rehabilitation.

Manual precision task study
Nature Scientific Reports · 2025

Partner familiarity enhances performance in a manual precision task

With J. Heidersberger et al. — Examines how partner familiarity shapes strategies and fluency in collaborative manual tasks.

REASSEMBLE dataset
Robotics: Science and Systems · 2025

REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly

With D. Sliwowski et al. — Provides a dataset spanning long-horizon assembly with synchronized force, pose, and video streams.

Shared autonomy
ICRA · 2024

Shared Autonomy via Variable Impedance Control and Virtual Potential Fields

With J. Heidersberger, C. Ott, and D. Lee — Introduces SALADS for complex human-robot co-manufacturing.

Variable impedance control
Journal of Intelligent & Robotic Systems · 2024

Configuration and force-field aware variable impedance control with faster re-learning

With H. J. Palanthandalam-Madapusi — Tackles typical VIC challenges by adapting to configuration and external force fields.

Parkinson's detection
MDPI Applied Sciences · 2023

A Machine-Learning-Based Method to Detect Degradation of Motor Control Stability

With V. Shah et al. — Combines control theory and ML to flag presymptomatic Parkinson's disease.

Gait trainer paper
ASME Journal of Medical Devices · 2024

Kinematic Performance of a Customizable Single Degree-of-Freedom Gait Trainer

With K. S. Karvaje et al. — Demonstrates cost-effective gait therapy with customizable trajectories.

Manipulator redundancy
ASME Letters in Dynamic Systems and Control · 2024

Utilization of Manipulator Redundancy for Torque Reduction During Force Interaction

With H. J. Palanthandalam-Madapusi — Introduces redundancy objectives that lower joint torques under external disturbances.

Let’s shape the next generation of collaborative robots.

Email me about research collaborations, visiting students, or speaking invitations.