Arjun Bhardwaj
Arjun Bhardwaj is a researcher at ETH Zurich specializing in robot learning, reinforcement learning, and dexterous manipulation. He is affiliated with the Robotic Systems Lab and has published work on data-efficient task generalization, sim-to-real transfer for dexterous manipulation, and immersive VR-based robot data collection. His recent work includes ViserDex for visual sim-to-real transfer in dexterous in-hand reorientation and VR-DAgger for uncertainty-guided on-policy correction.
“TactSpace: Learning a Physics-enriched Shared Latent Space for Tactile Sim-to-Real Transfer”
Source→“Listed as co-first authors (email contact). These are the researchers who built and will likely extend the framework. For companies looking to license, collaborate, or recruit in tactile representation learning, these are the direct technical contacts.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.