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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 301–350 of 920 papers

TitleStatusHype
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems—0
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks—0
Constrained Motion Planning Networks X—0
A Survey of Federated Learning for Connected and Automated Vehicles—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—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
A Generative System for Robot-to-Human Handovers: from Intent Inference to Spatial Configuration Imagery—0
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure—0
Conformal Temporal Logic Planning using Large Language Models—0
A Specification-Guided Framework for Temporal Logic Control of Nonlinear Systems—0
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions—0
Graduated Fidelity Lattices for Motion Planning under Uncertainty—0
A Framework for Probabilistic Generic Traffic Scene Prediction—0
On-line Motion Planning Using Bernstein Polynomials for Enhanced Target Localization in Autonomous Vehicles—0
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation—0
Confidence-rich grid mapping—0
Conditional Generative Neural System for Probabilistic Trajectory Prediction—0
A Schema-aware Logic Reformulation for Graph Reachability—0
Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation—0
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving—0
Generative AI for Autonomous Driving: A Review—0
On trajectory design from motion primitives for near time-optimal transitions for systems with oscillating internal dynamics—0
A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems—0
A Framework for Guided Motion Planning—0
Composing Task-Agnostic Policies with Deep Reinforcement Learning—0
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
Generalized Object Search—0
Composing Diverse Policies for Temporally Extended Tasks—0
ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation—0
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning—0
Go Fetch: Mobile Manipulation in Unstructured Environments—0
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations—0
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space—0
ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning—0
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning—0
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
3D Vision Guided Robotic Charging Station for Electric and Plug-in Hybrid Vehicles—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations—0
Graph learning in robotics: a survey—0
Closed-loop Multi-step Planning—0
Graph Neural Networks for Motion Planning—0
GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments—0
Grounded Vision-Language Interpreter for Integrated Task and Motion Planning—0
Ark: An Open-source Python-based Framework for Robot Learning—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified