RobotArena ∞: Unlimited Robot Benchmarking via Real-to-Sim Translation
International Conference on Learning Representations (ICLR), 2026
Yash Jangir
Research Intern, Toyota Research Institute · Incoming CS PhD, Johns Hopkins
🤖 Robotics
👁️ Computer Vision
🧠 Embodied AI
I'm currently a Research Intern at the Toyota Research Institute, working on the Large Behavior Model team. In Fall 2026, I'll join Johns Hopkins University as a CS PhD student, advised by Prof. Homanga Bharadhwaj. I am broadly interested in how robots can learn to act intelligently in diverse, real-world settings.
Previously, I completed my M.S. in Robotics at Carnegie Mellon University, advised by Prof. Katerina Fragkiadaki and Prof. Yonatan Bisk, where I worked on evaluating generalist robot policies and real-to-sim alignment. Before that, I was a Robotics Institute Summer Scholar (RISS) at CMU, working with Prof. Sebastian Scherer and Prof. Junyi Geng on aerial manipulation and visual control. I also worked as a Robot Software Engineer at Clutterbot Robotics, developing efficient global relocalization methods for robots operating in unstructured environments with sparse maps. I completed my undergraduate studies at BITS Pilani, Goa.
I am always open to new ideas, collaborations or discussions (whatever it may be). Feel free to reach out! You can find my contact info, CV, and projects here, or visit my GitHub.
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