SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 920 papers

TitleStatusHype
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving—0
Environment-aware Interactive Movement Primitives for Object Reaching in Clutter—0
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport—0
Policy-Guided Lazy Search with Feedback for Task and Motion Planning—0
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation—0
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control—0
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding—0
Evaluating Guiding Spaces for Motion Planning—0
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning—0
SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social Navigation—0
Scalable Multi-robot Motion Planning for Congested Environments With Topological Guidance—0
Experiment Design for Identification of Marine Models—0
Hypergraph-based Multi-Robot Task and Motion Planning—0
Motion Planning on Visual Manifolds—0
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian ProcessesCode0
On-line Motion Planning Using Bernstein Polynomials for Enhanced Target Localization in Autonomous Vehicles—0
Opportunistic Qualitative Planning in Stochastic Systems with Incomplete Preferences over Reachability Objectives—0
A Survey on Knowledge Graph-based Methods for Automated Driving—0
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments—0
Robust Lattice-based Motion Planning—0
Unified Control Framework for Real-Time Interception and Obstacle Avoidance of Fast-Moving Objects with Diffusion Variational Autoencoder—0
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models—0
Game-theoretic Objective Space PlanningCode0
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning—0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified