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Robot Manipulation

Papers

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Showing 201–250 of 430 papers

TitleStatusHype
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations—0
Learning to Look: Seeking Information for Decision Making via Policy Factorization—0
Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach—0
Learning to Transfer Human Hand Skills for Robot Manipulations—0
Learning Universal Policies via Text-Guided Video Generation—0
Learning User-Preferred Mappings for Intuitive Robot Control—0
Learning Video-Conditioned Policies for Unseen Manipulation Tasks—0
LEMMA: Learning Language-Conditioned Multi-Robot Manipulation—0
Efficient Self-Supervised Data Collection for Offline Robot Learning—0
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation—0
LODGE: Joint Hierarchical Task Planning and Learning of Domain Models with Grounded Execution—0
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances—0
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery—0
Efficient and Interpretable Robot Manipulation with Graph Neural Networks—0
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos—0
Effective Tuning Strategies for Generalist Robot Manipulation Policies—0
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning—0
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting—0
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation—0
ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?—0
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation—0
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models—0
Visual Imitation with a Minimal Adversary—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data—0
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning—0
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies—0
Memory-based gaze prediction in deep imitation learning for robot manipulation—0
Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks—0
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models—0
Modeling Long-horizon Tasks as Sequential Interaction Landscapes—0
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation—0
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation—0
3D Feature Distillation with Object-Centric Priors—0
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments—0
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability—0
DiffGen: Robot Demonstration Generation via Differentiable Physics Simulation, Differentiable Rendering, and Vision-Language Model—0
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning—0
Multi-Agent Reinforcement Learning with Multi-Step Generative Models—0
Dependable Neural Networks for Safety Critical Tasks—0
Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception—0
Multisensory Learning Framework for Robot Drumming—0
Multi-task real-robot data with gaze attention for dual-arm fine manipulation—0
Multi-View Matching Network for 6D Pose Estimation—0
MVTrans: Multi-View Perception of Transparent Objects—0
Naming Objects for Vision-and-Language Manipulation—0
NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation—0
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success—0
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations—0
Never-Ending Behavior-Cloning Agent for Robotic 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