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Robot Manipulation

Papers

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Showing 151–200 of 430 papers

TitleStatusHype
A Taxonomy for Evaluating Generalist Robot Policies—0
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies—0
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models—0
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization—0
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware—0
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos—0
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation—0
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability—0
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos—0
ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?—0
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference—0
DiffGen: Robot Demonstration Generation via Differentiable Physics Simulation, Differentiable Rendering, and Vision-Language Model—0
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation—0
Language-Guided Adaptive Perception for Efficient Grounded Communication with Robotic Manipulators in Cluttered Environments—0
Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data—0
Adversarially Regularized Policy Learning Guided by Trajectory Optimization—0
Bi-Manual Joint Camera Calibration and Scene Representation—0
Dependable Neural Networks for Safety Critical Tasks—0
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots—0
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions—0
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions—0
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning—0
3D-MVP: 3D Multiview Pretraining for Manipulation—0
LEMMA: Learning Language-Conditioned Multi-Robot Manipulation—0
LODGE: Joint Hierarchical Task Planning and Learning of Domain Models with Grounded Execution—0
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery—0
Graph Inverse Reinforcement Learning from Diverse Videos—0
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data—0
Is Single-View Mesh Reconstruction Ready for Robotics?—0
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping—0
Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Control—0
Learning to Transfer Human Hand Skills for Robot Manipulations—0
Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation—0
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding—0
Learning Universal Policies via Text-Guided Video Generation—0
Latent Weight Diffusion: Generating reactive policies instead of trajectories—0
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation—0
Benchmarking Robot Manipulation with the Rubik's Cube—0
Imitating Task and Motion Planning with Visuomotor Transformers—0
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success—0
Learning User-Preferred Mappings for Intuitive Robot Control—0
Learning from Demonstration with Weakly Supervised Disentanglement—0
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning—0
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models—0
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation—0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models—0
ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection—0
DataPlatter: Boosting Robotic Manipulation Generalization with Minimal Costly Data—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