SOTAVerified

Motion Planning

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

Papers

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Showing 551–600 of 920 papers

TitleStatusHype
Research on the Inverse Kinematics Prediction of a Soft Biomimetic Actuator via BP Neural Network—0
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable SimulatorCode1
Integrated Task and Motion Planning for Safe Legged Navigation in Partially Observable EnvironmentsCode1
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
sbp-env: Sampling-based Motion Planners' Testing Environment—0
Scalable Anytime Algorithms for Learning Fragments of Linear Temporal LogicCode1
Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty—0
Using UAVs for vehicle tracking and collision risk assessment at intersections—0
AMRA*: Anytime Multi-Resolution Multi-Heuristic A*Code1
Leveraging Experience in Lazy Search—0
Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined SpacesCode1
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot InteractionCode1
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning—0
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning—0
How To Not Drive: Learning Driving Constraints from Demonstration—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
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid GamesCode1
Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised LearningCode1
Interactive multi-modal motion planning with Branch Model Predictive ControlCode1
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction MetricsCode1
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
Predicting Stable Configurations for Semantic Placement of Novel ObjectsCode1
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
Towards real-world navigation with deep differentiable plannersCode1
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach—0
Learning to Design and Construct Bridge without Blueprint—0
Risk Conditioned Neural Motion PlanningCode0
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous RobotsCode0
RGL-NET: A Recurrent Graph Learning framework for Progressive Part AssemblyCode1
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
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly TasksCode1
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
Safe Local Motion Planning With Self-Supervised Freespace ForecastingCode1
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