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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 601–650 of 920 papers

TitleStatusHype
Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications—0
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
RNGDet: Road Network Graph Detection by Transformer in Aerial Images—0
From Motion to Muscle—0
A Cooperation-Aware Lane Change Method for Autonomous Vehicles—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
Economic MPC-based planning for marine vehicles: Tuning safety and energy efficiency—0
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations—0
Guided Imitation of Task and Motion Planning—0
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments—0
Learning to Search in Task and Motion Planning with Streams—0
The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions—0
Neural Motion Planning for Autonomous Parking—0
Learning Perceptual Concepts by Bootstrapping from Human Queries—0
idSTLPy: A Python Toolbox for Active Perception and Control—0
Learning suction graspability considering grasp quality and robot reachability for bin-picking—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
Research on the Inverse Kinematics Prediction of a Soft Biomimetic Actuator via BP Neural Network—0
sbp-env: Sampling-based Motion Planners' Testing Environment—0
Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty—0
Using UAVs for vehicle tracking and collision risk assessment at intersections—0
Leveraging Experience in Lazy Search—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
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