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drashutoshspace/README.md

Ashutosh Mishra

Space robotics, legged locomotion for the lunar surface, GPU-scale reinforcement learning, sim-to-real transfer, modular reconfigurable robots

Postdoctoral Researcher, Dynamic Legged Systems lab
Istituto Italiano di Tecnologia (IIT), Genova

PhD, Space Robotics Lab, Tohoku University · Japanese Government MEXT Scholar · IAF Emerging Space Leader 2025

drmishra.space Google Scholar ORCID LinkedIn X Email

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I build legged and modular robots that can work on the lunar surface,
and the learning-based control that lets them keep working when the terrain does not cooperate.


Research

Legged locomotion for space Modular reconfigurable lunar robots Learning and autonomy for field robots
How does a legged robot keep walking on terrain that no one has surveyed, with no chance of rescue? If you can only land a fixed mass on the Moon, should it be one specialised machine or a set of parts? What has to be true for a learned policy to still work outside the simulator?
Reinforcement learning · Isaac Lab · sim-to-real MoonBot · JST Moonshot Goal 3 Decentralized RL · agentic planning

Field record   JAXA Space Exploration Test Field, Sagamihara (2025) · Abukuma Cave, Fukushima (2025)


Now Before
Learning-based locomotion controllers for quadrupedal robots in space exploration, with Claudio Semini under the ALTEC project. Most of my time goes into GPU-accelerated reinforcement learning in Isaac Lab, and the sim-to-real pipelines that decide whether a policy survives contact with real hardware. Doctorate at the Space Robotics Lab, Tohoku University, with Kazuya Yoshida, as a Japanese Government MEXT scholar. I worked on MoonBot, a modular, reconfigurable robot for lunar base construction under JST Moonshot Goal 3, field-tested at the JAXA Space Exploration Test Field and in the Abukuma Cave.

Stack

Languages Reinforcement learning and AI
Python C++ C MATLAB Bash SQL Verilog VHDL PyTorch TensorFlow Stable-Baselines3 OpenCV Isaac Lab NVIDIA Newton
Robotics and simulation Hardware and field systems
ROS 2 ROS MoveIt Isaac Sim MuJoCo Docker Linux Git AWS Jetson Orin NX RealSense D435i Livox Mid-360 OptiTrack UR16e manipulator FPGA PCB design

Recognition

Year Recognition
2025Emerging Space Leader, International Astronautical Federation (IAF), Sydney
2025Invited panelist, IAF Next Generation Plenary, International Astronautical Congress, Sydney
2025Best Research Paper Award, IEEE iSpaRo 2025, 2nd International Conference on Space Robotics, Sendai
2024I-CON Award, Indian Society of Remote Sensing (ISRS), ISRO
2023 to 2026MEXT Research Scholar, Government of Japan, Embassy Recommendation

Full CV and publications at drmishra.space/cv

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