SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 920 papers

TitleStatusHype
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation LearningCode1
Flatness-based motion planning for a non-uniform moving cantilever Euler-Bernoulli beam with a tip-mass—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—0
Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh NetworksCode0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation—0
Potential Based Diffusion Motion Planning—0
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization—0
Solving Motion Planning Tasks with a Scalable Generative ModelCode2
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving—0
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing—0
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics—0
Planning with Adaptive World Models for Autonomous Driving—0
Learning Temporal Logic Predicates from Data with Statistical Guarantees—0
Instruct Large Language Models to Drive like HumansCode1
SLOPE: Search with Learned Optimal Pruning-based ExpansionCode0
Task and Motion Planning for Execution in the Real—0
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds—0
RoboArm-NMP: a Learning Environment for Neural Motion Planning—0
Design, Control, and Motion-Planning for a Root-Perching Rotor-Distributed Manipulator—0
Track Anything Rapter(TAR)Code0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
Addressing Diverging Training Costs using BEVRestore for High-resolution Bird's Eye View Map Construction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified