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Motion Planning

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

Papers

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Showing 401–450 of 920 papers

TitleStatusHype
CoPAL: Corrective Planning of Robot Actions with Large Language Models—0
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments—0
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance—0
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective—0
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
Interactive Joint Planning for Autonomous Vehicles—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
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method—0
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—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
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks—0
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks—0
Iterative Motion Planning in Multi-agent Systems with Opportunistic Communication under Disturbance—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
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands—0
KiloBot: A Programming Language for Deploying Perception-Guided Industrial Manipulators at Scale—0
KnowRob 2.0 — A 2nd Generation Knowledge Processing Framework for Cognition-enabled Robotic Agents—0
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion—0
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning—0
λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics—0
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation—0
Guided Imitation of Task and Motion Planning—0
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators—0
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles—0
A review of motion planning algorithms for intelligent robotics—0
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients—0
A Survey of Knowledge Representation in Service Robotics—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments—0
Guaranteed approximations of arbitrarily quantified reachability problems—0
Layered Multirate Control of Constrained Linear Systems—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks—0
Grounded Vision-Language Interpreter for Integrated Task and Motion Planning—0
Constrained Motion Planning Networks X—0
A Survey of Federated Learning for Connected and Automated Vehicles—0
Graph Neural Networks for Motion Planning—0
Learning and Inferring Movement with Deep Generative Model—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Graph learning in robotics: a survey—0
Constant-time Motion Planning with Anytime Refinement for Manipulation—0
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified