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Motion Planning

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

Papers

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Showing 501–550 of 920 papers

TitleStatusHype
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives—0
Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal-Logic Tasks—0
LQR-trees with Sampling Based Exploration of the State Space—0
A Cooperation-Aware Lane Change Method for Automated Vehicles—0
Vandermonde Trajectory Bounds for Linear Companion Systems—0
Causal Explanations for Sequential Decision-Making in Multi-Agent SystemsCode0
Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation—0
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsCode0
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems—0
Generalized Object Search—0
Learning to View: Decision Transformers for Active Object Detection—0
Mitigating Motion Sickness with Optimization-based Motion Planning—0
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image—0
Quantitative Planning with Action Deception in Concurrent Stochastic Games—0
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing—0
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Nonlinear controllability and function representation by neural stochastic differential equations—0
Learning Agile Paths from Optimal Control—0
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring—0
Robot Basics: Representation, Rotation and Velocity—0
Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC—0
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning—0
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