SOTAVerified

Motion Planning

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

Papers

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Showing 376–400 of 920 papers

TitleStatusHype
Imitating Task and Motion Planning with Visuomotor Transformers—0
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning—0
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach—0
IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models—0
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting—0
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
Improving Human-Robot Collaboration via Computational Design—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
Incremental Sampling-based Motion Planners Using Policy Iteration Methods—0
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation—0
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot—0
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems—0
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
InsActor: Instruction-driven Physics-based Characters—0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping—0
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches—0
Hierarchical Policy Search via Return-Weighted Density Estimation—0
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System—0
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks—0
Deep-Learning-Aided Path Planning and Map Construction for Expediting Indoor Mapping—0
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping—0
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving—0
Control Barrier Functions for Prescribed-time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified