CoRL 2024PastRobotics
CoRL 2024 Workshop on Mastering Robot Manipulation in a World of Abundant Data
CoRL 2024 Workshop MRM-D
- Submission deadline
- Oct 16, 2024, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (49)
Fetched from OpenReview (v2) on 2026-06-10.
ActionFlow: Equivariant, Accurate, and Efficient Manipulation Policies with Flow Matching
AnySkin: Plug-and-play Skin Sensing for Robotic Touch
ATK: Automatic Task-driven Keypoint selection for Policy Transfer from Simulation to Real World
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Bi3D Diffuser Actor: 3D Policy Diffusion for Bi-manual Robot Manipulation
ClutterGen: A Cluttered Scene Generator for Robot Learning
Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation
Diffusion Policy Policy Optimization
DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Efficient and Scalable Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
Enhancing Probabilistic Imitation Learning with Robotic Perception for Self-Organising Robot Workstation
Fast Reinforcement Learning without Rewards or Demonstrations via Auxiliary Task Examples
From Imitation to Refinement – Residual RL for Precise Visual Assembly
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
Interactive Visuo-Tactile Learning to Estimate Properties of Articulated Objects
Just Add Force for Delicate Robot Policies
Latent Action Pretraining From Videos
Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
Local Policies Enable Zero-shot Long-horizon Manipulation
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data
Multi-constrained robot motion generation
Neural MP: A Generalist Neural Motion Planner
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
Parental Guidance: Evolutionary Distillation for Non-Prehensile Mobile Manipulation
PokeFlex: A Real-World Dataset of Deformable Objects for Robotics.
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
RoboCrowd: Scaling Robot Data Collection through Crowdsourcing
Robot Manipulation with Flow Matching
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
RT-Affordance: Reasoning about Robotic Manipulation with Affordances
Safe and stable motion primitives via imitation learning and geometric fabrics
ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real
SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
SonicSense: Object Perception from In-Hand Acoustic Vibration
SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting
STEER: Bridging VLMs and Low-Level Control for Adaptable Robotic Manipulation
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
Student-Informed Teacher Training
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning
Towards Benchmarking Robotic Manipulation in Space
Towards Standards and Guidelines for Developing Open-Source and Benchmarking Learning for Robot Manipulation in the COMPARE Ecosystem
UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection
Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control
What Matters in Learning from Large-Scale Datasets for Robot Manipulation