∂L/∂q = τ
F = ma
x̂ = Ax + Bu
J(q)ẍ + C(q,q̇) = τ
θ* = argmin Σ(yi - f(xi))²
X
Y
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Shail Jadav

Roboticist & Researcher

Advancing safe and efficient human-robot collaboration through cutting-edge robotics and control theory. Applying concepts from nonlinear control and robot learning to manipulators and grasping systems.

Shail Jadav

Shail Jadav

Postdoctoral Research Fellow
Vienna, Austria
TU Wien
Ph.D. in Mechanical Engineering

About Me

Passionate about pushing the boundaries of robotics and human-robot interaction

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. My academic journey has been enriched by international research experiences, including visiting researcher positions at TU Wien, focusing on shared human-robot autonomy, and at the University of Texas at Austin, where I worked on single-degree-of-freedom gait training devices.


I have been fortunate to receive several recognitions for my work, including a gold medal at IIT Gandhinagar's 13th convocation. My research has been supported by multiple grants, such as the DST NIDHI PRAYAS grant for developing an adaptive motion controller, the IEEE RAS Student Travel Grant, the SPARC Travel Grant for my work at UT Austin, and the IITGN Overseas Research Fellowship for my research at TU Wien. I also had the honor of winning the regional Boeing BUILD Bootcamp for startups.

Latest News

Recent updates and milestones in my research journey

July 2025

I am pleased to share that our paper, "Partner familiarity enhances performance in a manual precision task", has been published in Nature Scientific Reports.

May 2025

Happy to share that our paper "Demonstrating REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly" has been accepted to Robotics: Science and Systems (RSS 2025)

May 2024

I completed my Ph.D. at IIT Gandhinagar, earning a gold medal in recognition of outstanding innovation.

May 2024

I presented our paper 'Shared Autonomy via Variable Impedance Control and Virtual Potential Fields for Encoding Human Demonstrations' at ICRA 2024 in Yokohama, Japan.

Publications

Contributions to robotics, control theory, and human-robot collaboration

Human-Human Collaboration

Partner familiarity enhances performance in a manual precision task

Johannes Heidersberger, Jakob Kaiser, Shail Jadav, Lucija Mihić Zidar, Arianna Curioni, Leif Johannsen & Dongheui Lee

Nature Scientific Reports

We explored whether people learn to work together differently depending on their partner, what teamwork strategies they develop, and how personal differences affect how well they collaborate.

REASSEMBLE Dataset

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

Daniel Sliwowski, Shail Jadav, Sergej Stanovcic, Johannes Heidersberger, Jedrzej Orbik, Dongheui Lee

Robotics: Science and Systems (RSS 2025)

We release a multimodal dataset for long-horizon contact-rich assembly and disassembly tasks.

Shared Autonomy Framework

Shared Autonomy via Variable Impedance Control and Virtual Potential Fields for Encoding Human Demonstrations

Shail Jadav, Johannes Heidersberger, Christian Ott, Dongheui Lee

IEEE International Conference on Robotics and Automation (ICRA) 2024

This article introduces a framework for complex human-robot collaboration tasks, such as the co-manufacturing of furniture.

Variable Impedance Control

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

Shail Jadav, & Harish J Palanthandalam-Madapusi

Springer Journal of Intelligent & Robotic Systems (2024)

We introduce an innovative VIC algorithm that addresses typical VIC challenges.

Parkinson's Disease Detection

A Machine-Learning-Based Method to Detect Degradation of Motor Control Stability with Implications to Diagnosis of Presymptomatic Parkinson's Disease

Vrutangkumar V Shah, Shail Jadav, Sachin Goyal, Harish J Palanthandalam-Madapusi

MDPI Applied Sciences (2023)

We introduce an innovative ML & control theory based method for early diagnosis of Parkinson's disease.

Gait Trainer

Kinematic Performance of a Customizable Single Degree-of-Freedom Gait Trainer for Cost-Effective Therapy

Shail Jadav, Karthik Subramanya Karvaje, Sujay D. Kadam, Vineet Vashista, James Sulzer, Ashish Deshpande, Harish J. Palanthandalam-Madapusi

ASME Journal of Medical Devices (2024)

We advance the development of a single degree-of-freedom (DOF) gait trainer for gait therapy for individuals with neuromuscular impairments.

Manipulator Redundancy

Utilization of Manipulator Redundancy for Torque Reduction During Force Interaction

Shail Jadav, & Harish J Palanthandalam-Madapusi

ASME Letters in Dynamic Systems and Control (2024)

This paper introduces a novel objective function that responds to all external disturbances at the end-effector, aiming to lower joint torques via redundancy.

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Get in Touch

Let's collaborate on advancing the future of robotics

Shail Jadav

Postdoctoral Research Fellow

Technical University of Vienna (TU Wien)

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Vienna, Austria