SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 920 papers

TitleStatusHype
Predictive Traffic Rule Compliance using Reinforcement Learning—0
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming—0
Curvature-Constrained Vector Field for Motion Planning of Nonholonomic RobotsCode1
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving—0
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from VideosCode3
Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and PlanningCode2
MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation—0
Iterative Motion Planning in Multi-agent Systems with Opportunistic Communication under Disturbance—0
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation—0
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
Finetuning Generative Trajectory Model with Reinforcement Learning from Human Feedback—0
IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models—0
Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments—0
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown EnvironmentsCode0
Control Barrier Functions for Prescribed-time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes—0
A Task and Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks—0
Combating Partial Perception Deficit in Autonomous Driving with Multimodal LLM Commonsense—0
Temporal Triplane Transformers as Occupancy World Models—0
T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain—0
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions—0
Self-Modeling Robots by Photographing—0
Neural Configuration-Space Barriers for Manipulation Planning and Control—0
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified