Inverse Reinforcement Learning with Conditional Choice Probabilities. - Mohit Sharma 001; Kris M. Kitani; Joachim Groeger (CoRR, 2017)

Recognizing Visual Signatures of Spontaneous Head Gestures. - Mohit Sharma 001; Dragan Ahmetovic; László A. Jeni; Kris M. Kitani (WACV, 2018)

Leveraging Multimodal Haptic Sensory Data for Robust Cutting. - Kevin Zhang 002; Mohit Sharma 001; Manuela Veloso; Oliver Kroemer (Humanoids, 2019)

Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. - Mohit Sharma 001; Arjun Sharma; Nicholas Rhinehart; Kris M. Kitani (ICLR (Poster), 2019)

Learning Semantic Embedding Spaces for Slicing Vegetables. - Mohit Sharma 001; Kevin Zhang 002; Oliver Kroemer (CoRR, 2019)

Relational Learning for Skill Preconditions. - Mohit Sharma 001; Oliver Kroemer (CoRL, 2020)

Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation. - Mohit Sharma 001; Jacky Liang; Jialiang Zhao; Alex LaGrassa; Oliver Kroemer (CoRL, 2020)

A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy. - Kevin Zhang 002; Mohit Sharma 001; Jacky Liang; Oliver Kroemer (CoRR, 2020)

Inverse Reinforcement Learning with Explicit Policy Estimates. - Navyata Sanghvi; Shinnosuke Usami; Mohit Sharma 001; Joachim Groeger; Kris Kitani (AAAI, 2021)

Generalizing Object-Centric Task-Axes Controllers using Keypoints. - Mohit Sharma 001; Oliver Kroemer (ICRA, 2021)

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation. - Jacky Liang; Mohit Sharma 001; Alex LaGrassa; Shivam Vats; Saumya Saxena; Oliver Kroemer (ICRA, 2022)

Efficiently Learning Manipulations by Selecting Structured Skill Representations. - Mohit Sharma 001; Oliver Kroemer (IROS, 2022)

Multi-Resolution Sensing for Real-Time Control with Vision-Language Models. - Saumya Saxena; Mohit Sharma 001; Oliver Kroemer (CoRL, 2023)

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. - Mohit Sharma 001; Claudio Fantacci; Yuxiang Zhou; Skanda Koppula; Nicolas Heess; Jon Scholz; Yusuf Aytar (ICLR, 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models. - Saumya Saxena; Mohit Sharma 001; Oliver Kroemer (CoRR, 2024)

Semantically Controllable Augmentations for Generalizable Robot Learning. - Zoey Qiuyu Chen; Zhao Mandi; Homanga Bharadhwaj; Mohit Sharma 001; Shuran Song; Abhishek Gupta 004; Vikash Kumar (CoRR, 2024)

Representation Reuse for Learning Robust RobotManipulations - Mohit Sharma 001 (2024)

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. - Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)

Predictive Red Teaming: Breaking Policies Without Breaking Robots. - Anirudha Majumdar; Mohit Sharma 001; Dmitry Kalashnikov; Sumeet Singh; Pierre Sermanet; Vikas Sindhwani (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

Cascaded Diffusion Models for Neural Motion Planning. - Mohit Sharma 001; Adam Fishman; Vikash Kumar; Chris Paxton 001; Oliver Kroemer (CoRR, 2025)