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Robot Manipulation

Papers

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Showing 101–150 of 430 papers

TitleStatusHype
SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment—0
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation—0
WorldSimBench: Towards Video Generation Models as World Simulators—0
Latent Weight Diffusion: Generating reactive policies instead of trajectories—0
Latent Action Pretraining from VideosCode3
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman ControllersCode0
Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation—0
Combining Planning and Diffusion for Mobility with Unknown Dynamics—0
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation—0
Autoregressive Action Sequence Learning for Robotic ManipulationCode2
Effective Tuning Strategies for Generalist Robot Manipulation Policies—0
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction—0
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D PolicyCode2
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language ModelsCode1
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation—0
Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints—0
Hand-Object Interaction Pretraining from Videos—0
Interactive incremental learning of generalizable skills with local trajectory modulationCode0
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos—0
Affordance-based Robot Manipulation with Flow MatchingCode3
Semantically Controllable Augmentations for Generalizable Robot Learning—0
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation—0
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned PolicyCode2
Re-Mix: Optimizing Data Mixtures for Large Scale Imitation LearningCode1
PhysPart: Physically Plausible Part Completion for Interactable Objects—0
Compromising Embodied Agents with Contextual Backdoor Attacks—0
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few DemonstrationsCode1
HACMan++: Spatially-Grounded Motion Primitives for Manipulation—0
Generative Image as Action ModelsCode2
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images—0
Equivariant Diffusion PolicyCode2
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning—0
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition—0
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data—0
RoboUniView: Visual-Language Model with Unified View Representation for Robotic ManipulationCode2
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models—0
3D-MVP: 3D Multiview Pretraining for Robotic Manipulation—0
3D Feature Distillation with Object-Centric Priors—0
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data—0
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration—0
ABNet: Attention BarrierNet for Safe and Scalable Robot LearningCode1
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images—0
Leveraging Locality to Boost Sample Efficiency in Robotic ManipulationCode1
OpenVLA: An Open-Source Vision-Language-Action ModelCode9
RVT-2: Learning Precise Manipulation from Few DemonstrationsCode3
Scaling Manipulation Learning with Visual Kinematic Chain PredictionCode0
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object InteractionCode1
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion ModelsCode2
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation—0
Redundancy-aware Action Spaces for Robot LearningCode1
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All datasetsCALVINRLBenchSimplerEnv-Google RobotMimicGenSimplerEnv-Widow X

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DreamVLAavg. sequence length (D to D)4.44—Unverified
2VPPavg. sequence length (D to D)4.29—Unverified
3RoboVLMsavg. sequence length (D to D)4.25—Unverified
4Openhelixavg. sequence length (D to D)4.08—Unverified
5UP-VLAavg. sequence length (D to D)4.08—Unverified
6GR-MGavg. sequence length (D to D)4.04—Unverified
7MoDEavg. sequence length (D to D)4.01—Unverified
8RoboUniViewavg. sequence length (D to D)3.86—Unverified
9UniVLAavg. sequence length (D to D)3.8—Unverified
10RoboDualavg. sequence length (D to D)3.66—Unverified
#ModelMetricClaimedVerifiedStatus
1EquActSucc. Rate (18 tasks, 100 demo/task)89.4—Unverified
2SAM2ActSucc. Rate (18 tasks, 100 demo/task)86.8—Unverified
3ARP+Succ. Rate (18 tasks, 100 demo/task)84.9—Unverified
43D-LOTUSSucc. Rate (18 tasks, 100 demo/task)83.1—Unverified
5RVT-2Succ. Rate (18 tasks, 100 demo/task)81.4—Unverified
63D Diffuser ActorSucc. Rate (18 tasks, 100 demo/task)81.3—Unverified
7Mini DiffuserSucc. Rate (18 tasks, 100 demo/task)77.6—Unverified
8SAM-ESucc. Rate (18 tasks, 100 demo/task)70.6—Unverified
9Auto-λSucc. Rate (10 tasks, 100 demos/task)69.3—Unverified
10Act3DSucc. Rate (18 tasks, 100 demo/task)65—Unverified
#ModelMetricClaimedVerifiedStatus
1SoFarVisual Matching0.75—Unverified
2SpatialVLAVisual Matching0.72—Unverified
3Dita-300MVisual Matching0.69—Unverified
4RT-2-XVisual Matching0.61—Unverified
5RoboVLMVisual Matching0.56—Unverified
6RT-1-XVisual Matching0.53—Unverified
7TraceVLAVisual Matching0.46—Unverified
8OpenVLAVisual Matching0.28—Unverified
9Octo-BaseVisual Matching0.17—Unverified
#ModelMetricClaimedVerifiedStatus
1SDPSucc. Rate (12 tasks, 100 demo/task)76—Unverified
2EquiDiff (Voxel)Succ. Rate (12 tasks, 100 demo/task)63.9—Unverified
3EquiDiff (Image)Succ. Rate (12 tasks, 100 demo/task)53.7—Unverified
4DP (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)42—Unverified
5DP3 (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)23.9—Unverified
6BC RNN (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)22.9—Unverified
7ACT (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)21.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SoFarAverage0.58—Unverified
2SpatialVLAAverage0.34—Unverified
3Octo-SmallAverage0.3—Unverified
4Octo-BaseAverage0.16—Unverified
5RoboVLMAverage0.14—Unverified
6RT-1-XAverage0.01—Unverified
7OpenVLAAverage0.01—Unverified