SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified