Asad Ali Shahid

I am a researcher at IDSIA (Dalle Molle Institute for Artificial Intelligence), the Swiss AI Lab, affiliated with SUPSI and USI in Lugano, Switzerland. My research focuses on reinforcement learning for robotic manipulation, sim-to-real transfer, and human-robot interaction. I am particularly interested in enabling humanoid robots to perform physically skilled, temporally precise behaviors—moving beyond locomotion toward expressive manipulation. More broadly, I aim to develop agents that can acquire diverse physical skills and collaborate meaningfully with humans in real-world environments. I am also affiliated with the Department of Mechanical Engineering at Politecnico di Milano.

G. Scholar     LinkedIn     ResearchGate

asadali.shahid at supsi dot ch

2026

Robot Drummer accepted at IROS 2026.

Media coverage of Robot Drummer in Tech Xplore, Live Science, and others

2024

Co-organized CoRoboLearn workshop at CoRL 2024, Munich

Paper published in Journal of Intelligent & Robotic Systems: Evolutionary RL for Robotic Manipulation

2023

Extended abstract at IJCAI 2023: Q-Learning-Based Variable Impedance Control for Human-Robot Collaboration

2022

Paper published in Artificial Intelligence: Q-Learning Model Predictive Variable Impedance Control

Paper published in Autonomous Robots: Continuous Control Actions Learning for Robotic Manipulation

2021

Paper accepted at IROS 2021: Preference-Based Velocity Planner Optimization

Co-organizer, Machine Learning Milan Meetup (2019-2022)
For a complete and up-to-date list, visit my Google Scholar

Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming

Asad Ali Shahid, Francesco Braghin, Loris Roveda
International Conference on Intelligent Robots and Systems (IROS), 2026
Website  •   arXiv

GEAR: Gaze-Enabled Human-Robot Collaborative Assembly

Asad Ali Shahid, Angelo Moroncelli, Drazen Brscic, Takayuki Kanda, Loris Roveda
International Conference on Intelligent Robots and Systems (IROS), 2025
Website  •   arXiv

Benchmarking Population-Based Reinforcement Learning across Robotic Tasks with GPU-Accelerated Simulation

Asad Ali Shahid, Yashraj Narang, Vincenzo Petrone, Enrico Ferrentino, Ankur Handa, Dieter Fox, Marco Pavone, Loris Roveda
IEEE International Conference on Automation Science and Engineering (CASE), 2025
Website  •   arXiv  •   Code

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling

Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda
International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2024
Website  •   arXiv

Adaptive Optimization of Hyper-Parameters for Robotic Manipulation through Evolutionary Reinforcement Learning

Giulio Onori, Asad Ali Shahid, Francesco Braghin, Loris Roveda
Journal of Intelligent & Robotic Systems, 2024

Machine Learning for Mechanical Systems — Co-Instructor, MSc, Politecnico di Milano (2025, 2026)
AI Applications to Industrial Robotics — Invited Lecture, PhD Course, Politecnico di Milano (2023, 2024, 2025)
Applied Case Studies of Machine Learning — Teaching Assistant, BSc, SUPSI (2022, 2023, 2024)