SOTAVerified

Motion Planning

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

Papers

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Showing 751–800 of 920 papers

TitleStatusHype
Reactive motion planning with probabilistic safety guarantees—0
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype—0
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives—0
Real-World Robot Applications of Foundation Models: A Review—0
Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Buchi Automata—0
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration—0
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning—0
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation—0
RenderWorld: World Model with Self-Supervised 3D Label—0
Representation, learning, and planning algorithms for geometric task and motion planning—0
Research on the Inverse Kinematics Prediction of a Soft Biomimetic Actuator via BP Neural Network—0
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot—0
RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents—0
Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures—0
Risk-aware Integrated Task and Motion Planning for Versatile Snake Robots under Localization Failures—0
Risk-Sensitive Motion Planning using Entropic Value-at-Risk—0
RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring—0
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies—0
RNGDet: Road Network Graph Detection by Transformer in Aerial Images—0
RoboArm-NMP: a Learning Environment for Neural Motion Planning—0
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation—0
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation—0
Robot Basics: Representation, Rotation and Velocity—0
Robotic surface exploration with vision and tactile sensing for cracks detection and characterisation—0
Robot Learning with Sensorimotor Pre-training—0
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner—0
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning—0
Robust Finite-State Controllers for Uncertain POMDPs—0
Robust Lattice-based Motion Planning—0
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement—0
RRT* Based Optimal Trajectory Generation with Linear Temporal Logic Specifications under Kinodynamic Constraints—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
Safe Human-UAS Collaboration Abstraction—0
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach—0
Safe learning-based optimal motion planning for automated driving—0
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality—0
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach—0
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies—0
Safe motion planning with environment uncertainty—0
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning—0
Safe Navigation with Human Instructions in Complex Scenes—0
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory—0
Safety-Aware Optimal Control for Motion Planning with Low Computing Complexity—0
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions—0
Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI—0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified