SOTAVerified

Motion Planning

( Image credit: Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 920 papers

TitleStatusHype
Vector Field-based Collision Avoidance for Moving Obstacles with Time-Varying Elliptical ShapeCode1
Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots—0
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration—0
Understanding Physical Effects for Effective Tool-use—0
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach—0
Learning Neuro-Symbolic Skills for Bilevel Planning—0
Intention-Aware Navigation in Crowds with Extended-Space POMDP PlanningCode0
ScePT: Scene-consistent, Policy-based Trajectory Predictions for PlanningCode1
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory—0
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory PredictionCode1
A Holistic Robust Motion Controller Framework for Autonomous Platooning—0
Tensor Train for Global Optimization Problems in Robotics—0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting—0
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery—0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping—0
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments—0
Informed Steiner Trees: Sampling and Pruning for Multi-Goal Path Finding in High Dimensions—0
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects—0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF)—0
Safety-Aware Optimal Control for Motion Planning with Low Computing Complexity—0
Minimum Displacement Motion Planning for Movable Obstacles—0
Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures—0
SymForce: Symbolic Computation and Code Generation for RoboticsCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified