Papers with Code 아카이브
Robot Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 4
- 보존된 평가 기록
- 45
The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aimagelab/LoCoNav
공식 코드https://github.com/aimagelab/ag3d
공식 코드https://github.com/airi-institute/pogema
공식 코드POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
https://github.com/airi-institute/transpath
공식 코드TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers
https://github.com/alban-grastien/diagfwork
공식 코드https://github.com/alcedok/SocialNav_paper
공식 코드Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
https://github.com/aleksispi/airloc
공식 코드Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue
https://github.com/ali-forootani/a-survey-on-mathematical-reasoning-and-optimization-with-large-language-models
공식 코드A Survey on Mathematical Reasoning and Optimization with Large Language Models
https://github.com/allenai/promptable-behaviors
공식 코드Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
https://github.com/anuraganands/Single-objective-Bi-level-with-ICHEA--BICHEA-
공식 코드Optimistic variants of single-objective bilevel optimization for evolutionary algorithms
https://github.com/arena-rosnav/arena-tools
공식 코드https://github.com/aria-systems-group/hsvi-rp
공식 코드Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
https://github.com/aryandeshwal/bops
공식 코드https://github.com/augustkx/VAE_learning-a-representation-for-navigation
공식 코드Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder
https://github.com/awesomericky/complex-env-navigation
공식 코드Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
https://github.com/changhaonan/ovsg
공식 코드Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
https://github.com/clear-nus/ltldog
공식 코드LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
https://github.com/cocoon2wong/Vertical
공식 코드View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
https://github.com/concept-fusion/concept-fusion
공식 코드https://github.com/cuishuhao/HDA
공식 코드https://github.com/cyril-grelier/gc_wvcp_mcts
공식 코드Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
https://github.com/dancasmor/bio-inspired-spike-based-hippocampus-and-posterior-parietal-cortex-robotic-system-for-pseudo-mapping
공식 코드https://github.com/datphamvn/hsevo
공식 코드https://github.com/dbokan1/slope
공식 코드https://github.com/debadeepta/vnla
공식 코드https://github.com/deepmind/boxoban-levels
공식 코드https://github.com/devaansh100/a_star
공식 코드A Training Data Recipe to Accelerate A* Search with Language Models
https://github.com/devendrachaplot/Neural-SLAM
공식 코드https://github.com/devendrachaplot/Object-Goal-Navigation
공식 코드Object Goal Navigation using Goal-Oriented Semantic Exploration
https://github.com/dfki-av/sg-pgm
공식 코드https://github.com/dfki-ric-quantum/qdrl-turtlebot-env
공식 코드Quantum Deep Reinforcement Learning for Robot Navigation Tasks
https://github.com/dfki-ric-quantum/qdrl-turtlebot-eval
공식 코드Quantum Deep Reinforcement Learning for Robot Navigation Tasks
https://github.com/dhruvms/amra
공식 코드https://github.com/djl11/ESM
공식 코드https://github.com/dlut-dimt/ellipse-detector
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.