Scholar
Mayank Mittal
Google Scholar ID: iVXG-IkAAAAJ
ETH Zurich, NVIDIA
Citations & Impact
Citations
950
H-index
13
i10-index
14
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Sep 21, 2025: Our paper 'SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound' is accepted at NeurIPS 2025 Datasets & Benchmarks Track.
- Sep 10, 2025: Our paper 'Factorized Skill Learning with Symmetry and Style Priors' is accepted for an oral presentation at CoRL 2025.
- Jun 20, 2025: Honored to be a part of RSS Pioneers 2025 which brings together a cohort of the world’s top early-career researchers.
- Feb 6, 2025: Two papers on quadrupedal mobile manipulation for whole-body end-effector pose tracking and dynamic object pushing accepted to ICRA 2025.
- Oct 18, 2024: Our paper 'Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation' is accepted for an oral presentation at CoRL 2024.
Research Experience
- Research Scientist at NVIDIA; involved in multiple research projects on robot learning and control.
Education
- PhD, ETH Zurich, Advisor: Marco Hutter
Background
- Currently a final-year PhD student at ETH Zurich, advised by Marco Hutter, and a Research Scientist at NVIDIA. My research explores how robots can learn to reason about their bodies and surroundings to achieve more adaptive and versatile behaviors. This includes whole-body control for mobile manipulation, reinforcement learning for contact-rich tasks, and integrating multi-modal sensing to enhance decision-making.
