SOTAVerified

Motion Planning

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

Papers

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Showing 626–650 of 920 papers

TitleStatusHype
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning—0
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning—0
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation—0
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping—0
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance—0
An Anytime Hierarchical Approach for Stochastic Task and Motion Planning—0
Parallelised Diffeomorphic Sampling-based Motion Planning—0
Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot—0
Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Chairs via Robot Imagination—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances—0
Learning to Design and Construct Bridge without Blueprint—0
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach—0
Risk Conditioned Neural Motion PlanningCode0
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous RobotsCode0
Motion Planning by Learning the Solution Manifold in Trajectory Optimization—0
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving—0
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios—0
Multistage Stochastic Model Predictive Control for Urban Automated Driving—0
Temporal Logic Planning for Minimum-Time Positioning of Multiple Threat-Seduction Decoys—0
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach—0
Efficient Sampling in POMDPs with Lipschitz Bandits for Motion Planning in Continuous Spaces—0
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified