PAKT: Physically-Aligned Kinesthetic Teaching for Reinforcement Learning
cs.RO
Submitted: 2026-09-22
Updated: 2026-09-22
Project page: https://pakt-website.github.io/pakt-website
Terminology
Sources
- TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation
- TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs
- ALOHA Unleashed: A Simple Recipe for Robot Dexterity
- Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
- Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
- Towards Accessible Robot Control: Comparing Kinesthetic Teaching, SpaceMouse Teleoperation, and a Mixed Reality Interface
- Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training
- Smooth Exploration for Robotic Reinforcement Learning
- Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
- AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving