Robot Manipulation
83 papers with code • 1 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Robot Manipulation
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Libraries
Use these libraries to find Robot Manipulation models and implementations
RLBench
ManiSkill2
YCB-Slide
ManipulateSound
Most implemented papers
DeepIM: Deep Iterative Matching for 6D Pose Estimation
liyi14/mx-DeepIM
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ECCV 2018
Estimating the 6D pose of objects from images is an important problem in various applications such as robot manipulation and virtual reality.
SilhoNet: An RGB Method for 6D Object Pose Estimation
gidobot/SilhoNet
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Autonomous robot manipulation involves estimating the translation and orientation of the object to be manipulated as a 6-degree-of-freedom (6D) pose.
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
In order to exploit this idea, we introduce a framework whereby an object locomotion policy is initially obtained using a realistic physics simulator.
Learning 3D Dynamic Scene Representations for Robot Manipulation
3D scene representation for robot manipulation should capture three key object properties: permanency -- objects that become occluded over time continue to exist; amodal completeness -- objects have 3D occupancy, even if only partial observations are available; spatiotemporal continuity -- the movement of each object is continuous over space and time.
Mobile Robot Manipulation using Pure Object Detection
griffbr/tfod
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We develop an end-to-end manipulation method based solely on detection and introduce Task-focused Few-shot Object Detection (TFOD) to learn new objects and settings.
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
mees/hulc
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We have open-sourced our implementation to facilitate future research in learning to perform many complex manipulation skills in a row specified with natural language.
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Our intuition is that disagreement in learned reward model reflects uncertainty in tailored human feedback and could be useful for exploration.
Instruction-driven history-aware policies for robotic manipulations
In human environments, robots are expected to accomplish a variety of manipulation tasks given simple natural language instructions.
VIMA: General Robot Manipulation with Multimodal Prompts
We show that a wide spectrum of robot manipulation tasks can be expressed with multimodal prompts, interleaving textual and visual tokens.
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
zhouxian/act3d-chained-diffuser
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3D perceptual representations are well suited for robot manipulation as they easily encode occlusions and simplify spatial reasoning.
