SOTAVerified

Robot Manipulation

Papers

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Showing 151–200 of 430 papers

TitleStatusHype
Trajectory Adaptation using Large Language Models—0
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation—0
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation—0
HACTS: a Human-As-Copilot Teleoperation System for Robot Learning—0
REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation—0
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation—0
DataPlatter: Boosting Robotic Manipulation Generalization with Minimal Costly Data—0
ARC-Calib: Autonomous Markerless Camera-to-Robot Calibration via Exploratory Robot Motions—0
ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis—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
Combined Physics and Event Camera Simulator for Slip DetectionCode0
A Taxonomy for Evaluating Generalist Robot Policies—0
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids—0
Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze and Bottleneck—0
Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning—0
S^2-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation—0
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping—0
Select before Act: Spatially Decoupled Action Repetition for Continuous Control—0
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation—0
AnyPlace: Learning Generalized Object Placement for Robot Manipulation—0
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation—0
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent—0
Strong and Controllable 3D Motion Generation—0
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model—0
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding—0
Learning to Transfer Human Hand Skills for Robot Manipulations—0
3D-MVP: 3D Multiview Pretraining for Manipulation—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation—0
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies—0
ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?—0
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3—0
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies—0
Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning—0
From Mystery to Mastery: Failure Diagnosis for Improving Manipulation Policies—0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control—0
Prediction with Action: Visual Policy Learning via Joint Denoising Process—0
RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics—0
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation—0
Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile RepresentationCode0
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation—0
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy—0
RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation—0
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained TimescalesCode0
Non-rigid Relative Placement through 3D Dense Diffusion—0
Learning to Look: Seeking Information for Decision Making via Policy Factorization—0
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
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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