CoRL 2024PastRobotics
CoRL Workshop on Learning Robot Fine and Dexterous Manipulation: Perception and Control
LFDM
- Submission deadline
- Oct 8, 2024, 08:30 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (37)
Fetched from OpenReview (v2) on 2026-06-10.
$\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks
AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch
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
Bimanual Dexterity for Complex Tasks
Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards
Catch It! Learning to Catch in Flight with Mobile Dexterous Hands
Decomposing the Configuration of an Articulated Object via Graph Neural Network
Design of an Affordable, Fully-Actuated Biomimetic Hand for Dexterous Teleoperation
DexiTac: Soft Dexterous Tactile Gripping
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
Diff-HySAC: Diffusion-Based Hybrid Soft Actor-Critic for 6D Non-Prehensile Manipulation
Diffusion Policy Policy Optimization
DOFS: A Real-world 3D Deformable Object Dataset with Full Spatial Information for Dynamics Model Learning
DROP: Dexterous Reorientation via Online Planning
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
EgoMimic: Scaling Imitation Learning via Egocentric Video
From Imitation to Refinement – Residual RL for Precise Visual Assembly
GeoMatch++: Morphology Conditioned Geometry Matching for Multi-Embodiment Grasping
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
Learning to Accurately Throw Paper Planes
Local Policies Enable Zero-shot Long-horizon Manipulation
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data
MILES: Making Imitation Learning Easy with Self-Supervision
Object-Centric Dexterous Manipulation from Human Motion Data
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
Probabilistic Contact Mode Planning for Multi-Finger Manipulation using Diffusion Models
Representing Positional Information in Generative World Models for Object Manipulation
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real
TacEx: GelSight Tactile Simulation in Isaac Sim – Combining Soft-Body and Visuotactile Simulators
The Role of Action Abstractions in Robot Manipulation Learning and Sim-to-Real Transfer
Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control