SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 920 papers

TitleStatusHype
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network—0
Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills—0
A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning—0
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models—0
Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot—0
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections—0
A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
A Task and Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks—0
A Holistic Robust Motion Controller Framework for Autonomous Platooning—0
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
A System View of the Recognition and Interpretation of Observed Human Shape, Pose and Action—0
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
Creative Robot Tool Use with Large Language Models—0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified