SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified