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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
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions—0
Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Control—0
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer—0
DataPlatter: Boosting Robotic Manipulation Generalization with Minimal Costly Data—0
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks—0
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning—0
Data-efficient Hindsight Off-policy Option Learning—0
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images—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
Cyber-Secure Teleoperation With Encrypted Four-Channel Bilateral Control—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
Curiosity-Driven Experience Prioritization via Density Estimation—0
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale—0
Cross-Domain Transfer via Semantic Skill Imitation—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
Creativity in Robot Manipulation with Deep Reinforcement Learning—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
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—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
Contact Energy Based Hindsight Experience Prioritization—0
What Matters in Learning from Large-Scale Datasets for Robot Manipulation—0
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward—0
Reinforcement Learning without Ground-Truth State—0
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks—0
REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation—0
Constrained Motion Planning Networks X—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
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping—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