HackMDModel Learning (Nov 2023-)
Next
Paper list
- On the Design of LQR Kernels for Efficient Controller Learning
- A Tutorial on Energy-based methods
- Combining physics and deep learning to learn continuous-time dynamics models
- ENERGY-BASED MODELS FOR CONTINUAL LEARNING
- Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
- Geometric Robot Dynamic Identification: A Convex Programming Approach
- Robot Model Identification and Learning: A Modern Perspective
- Beyond Inverted Pendulums: Task-optimal Simple Models of Legged Locomotion
- Reinforcement Learning for Reduced-order Models of Legged Robots
- Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Sim-to-real (July-August 2023)
Next: Andrew, Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Possible papers
- Auto-Tuned Sim-to-Real Transfer
- On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
- Sim-to-Real Transfer with Neural-Augmented Robot Simulation
- Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
- Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real
- Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
- Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Fabrics (May 2023)
Papers
schedule
Assorted possible papers
- Riemannian Motion Policies Ratliff, lalala, Fox
- Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of BehaviorWyk, lalala, Ratliff in-depth
- Neural geometric fabrics: Efficiently learning high-dimensional policies from demonstration, Xie, lalala, Ratliff, Wyk make it deep
- Generalized nonlinear and finsler geometry for robotics Ratliff, Wyk, lalala, Rana Tutorial intro into math?
- Dynamic Optimization Fabrics for Motion Generation Spahn, Wisse, Mora application paper
- Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Zhang, Mohammadi, Rozo learning dynamics models with fabric properties
- Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control, Fichera, Billard
- Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations, _Rana, lalala, Ratliff
- Euclideanizing flows: Diffeomorphic reduction for learning stable dynamical systems, Rana, lalala, Ratliff
- Learning control Lyapunov function to ensure stability of dynamical system-based robot reaching motions Khansari-Zadeh, Billard
- RMPflow: A Geometric Framework for Generation of Multitask Motion Policies
: nice explanations for the mechanisms of pushforward, pullback, and resolve operators.
