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Robot Manipulation

Papers

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Showing 251–300 of 430 papers

TitleStatusHype
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing—0
Combining Planning and Diffusion for Mobility with Unknown Dynamics—0
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping—0
Constrained Motion Planning Networks X—0
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks—0
Contact Energy Based Hindsight Experience Prioritization—0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—0
Creativity in Robot Manipulation with Deep Reinforcement Learning—0
Cross-Domain Transfer via Semantic Skill Imitation—0
Curiosity-Driven Experience Prioritization via Density Estimation—0
Cyber-Secure Teleoperation With Encrypted Four-Channel Bilateral Control—0
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images—0
Data-efficient Hindsight Off-policy Option Learning—0
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks—0
DataPlatter: Boosting Robotic Manipulation Generalization with Minimal Costly Data—0
Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Control—0
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions—0
Dependable Neural Networks for Safety Critical Tasks—0
DiffGen: Robot Demonstration Generation via Differentiable Physics Simulation, Differentiable Rendering, and Vision-Language Model—0
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability—0
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models—0
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
Effective Tuning Strategies for Generalist Robot Manipulation Policies—0
Efficient and Interpretable Robot Manipulation with Graph Neural Networks—0
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation—0
Efficient Self-Supervised Data Collection for Offline Robot Learning—0
Efficient Sensorimotor Learning for Open-world Robot Manipulation—0
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning—0
EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies—0
Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze and Bottleneck—0
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models—0
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration—0
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning—0
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy—0
Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation—0
Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation—0
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods—0
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data—0
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation—0
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals—0
From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control—0
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation—0
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts—0
Generative predecessor models for sample-efficient imitation learning—0
Geometry-aware 4D Video Generation for Robot Manipulation—0
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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