Papers with Code 아카이브
Motion Planning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 1
<span style="color:grey; opacity: 0.6">( Image credit: Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Ark: An Open-source Python-based Framework for Robot Learning
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments
Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems
FocalAD: Local Motion Planning for End-to-End Autonomous Driving
Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning
Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs
A distributed motion planning approach to cooperative underwater acoustic source tracking and pursuit
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System
Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning
UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models
Grounded Vision-Language Interpreter for Integrated Task and Motion Planning
Captivity-Escape Games as a Means for Safety in Online Motion Generation
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control
RefAV: Towards Planning-Centric Scenario Mining
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
Cascaded Diffusion Models for Neural Motion Planning
EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
Generative AI for Autonomous Driving: A Review
Certifiably Safe Manipulation of Deformable Linear Objects via Joint Shape and Tension Prediction
AGI-Elo: How Far Are We From Mastering A Task?
Optimal Task and Motion Planning for Autonomous Systems Using Petri Nets
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
Multi-step manipulation task and motion planning guided by video demonstration
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.