
Dongho Kang
333 posts

Dongho Kang
@eastskykang
Research scientist at @rai_inst. PhD in computer science from @crl_ethz, @eth_en. Legged robotics, character animation, optimal control and RL.


Introducing our recent work: 🐶Teaching Robots Like Dogs: Learning Agile Navigation from Luring, Gesture, and Speech We ask a simple question: Can we teach robots the way we teach dogs? Project page: lnkd.in/eWWSJds2

Atlas can perform a backflip combo like a gymnast and also walk naturally across a stage. These very different movements are enabled by the whole-body learning framework developed by the RAI Institute and deployed by @BostonDynamics. We’re getting closer to robust, generalist humanoid behaviors that transfer zero-shot from simulation to physical performance: bit.ly/4rcbMYv










Happy to share that I will present two of my recent works @ #NeurIPS2025. In this line of work we studied how to build RL agents that learn safely online (aka safe exploration).

We have completed the SLAM Handbook "From Localization and Mapping to Spatial Intelligence" and released it online: asrl.utias.utoronto.ca/~tdb/slam/ . The handbook will be published by Cambridge University Press. [1/n]

📢Call for Posters: Harmonising Practical Robustness and Theoretical Reliability in Legged Locomotion: Fusion of Reinforcement Learning and Model-based Control 🚨Deadline has been extended to 7th Sep.2025 (AoE) We welcome your submissions 🔗sites.google.com/view/humanoids… #Humanoids2025



Don't flip out! Pushing our hardware to its limits with RL feats helps make a better robot for our customers. Watch the full video: youtu.be/LMPxtcEgtds



