SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–825 of 920 papers

TitleStatusHype
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning—0
Control Barrier Functions for Prescribed-time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes—0
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems—0
CoPAL: Corrective Planning of Robot Actions with Large Language Models—0
Correct-by-synthesis reinforcement learning with temporal logic constraints—0
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning—0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
Creative Robot Tool Use with Large Language Models—0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models—0
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network—0
Deep Multi-Sensor Lane Detection—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Deep Neural Networks for Swept Volume Prediction Between Configurations—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified