Karl Pertsch
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition
Most-Cited Works
- → RT-1: Robotics Transformer for Real-World Control at Scale(2023)470 cited
- → RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control(2023)264 cited
- → DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset(2024)99 cited
- → π₀: A Vision-Language-Action Flow Model for General Robot Control(2025)98 cited
- → Octo: An Open-Source Generalist Robot Policy(2024)58 cited
- → OpenVLA: An Open-Source Vision-Language-Action Model(2024)37 cited
- → Yell At Your Robot: Improving On-the-Fly from Language Corrections(2024)33 cited
- → Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors(2020)27 cited
- → Accelerating Reinforcement Learning with Learned Skill Priors(2020)19 cited