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Robot Manipulation

Papers

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Showing 251–300 of 430 papers

TitleStatusHype
Non-rigid Relative Placement through 3D Dense Diffusion—0
NVSPolicy: Adaptive Novel-View Synthesis for Generalizable Language-Conditioned Policy Learning—0
Object-Centric Representations Improve Policy Generalization in Robot Manipulation—0
Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation—0
Octo: An Open-Source Generalist Robot Policy—0
OG-VLA: 3D-Aware Vision Language Action Model via Orthographic Image Generation—0
Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Control—0
DataPlatter: Boosting Robotic Manipulation Generalization with Minimal Costly Data—0
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer—0
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks—0
Data-efficient Hindsight Off-policy Option Learning—0
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning—0
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images—0
Cyber-Secure Teleoperation With Encrypted Four-Channel Bilateral Control—0
OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation—0
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies—0
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation—0
Transferring Foundation Models for Generalizable Robotic Manipulation—0
Curiosity-Driven Experience Prioritization via Density Estimation—0
COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty—0
PhysPart: Physically Plausible Part Completion for Interactable Objects—0
Cross-Domain Transfer via Semantic Skill Imitation—0
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale—0
Creativity in Robot Manipulation with Deep Reinforcement Learning—0
Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How—0
Planning with Noisy Probabilistic Relational Rules—0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—0
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation—0
Policy Architectures for Compositional Generalization in Control—0
Prediction with Action: Visual Policy Learning via Joint Denoising Process—0
Primitive Skill-based Robot Learning from Human Evaluative Feedback—0
Quantifying Teaching Behaviour in Robot Learning from Demonstration—0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control—0
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction—0
Contact Energy Based Hindsight Experience Prioritization—0
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding—0
ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis—0
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks—0
Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views—0
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward—0
Reinforcement Learning without Ground-Truth State—0
Constrained Motion Planning Networks X—0
REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation—0
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping—0
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation—0
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation—0
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding—0
Combining Planning and Diffusion for Mobility with Unknown Dynamics—0
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot—0
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation—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