https://github.com/82magnolia/panoramic-depth-calibration
공식 코드Calibrating Panoramic Depth Estimation for Practical Localization and Mapping
Papers with Code 아카이브
Robot Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/AIR-DISCOVER/FreeAD
공식 코드https://github.com/AMR-/JackalCrowdEnv
공식 코드XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
https://github.com/DBay-ani/Fanoos
공식 코드Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems
https://github.com/DBay-ani/FanoosFurtherMaterials
공식 코드Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems
https://github.com/GMU-vision-robotics/View-Invariant-Visual-Servoing-for-Navigation
공식 코드Learning View and Target Invariant Visual Servoing for Navigation
https://github.com/GiuMaz/AAMAS2021
공식 코드https://github.com/GiuMaz/ICAPS-2021-supmat
공식 코드Rule-based Shielding for Partially Observable Monte-Carlo Planning
https://github.com/HKUST-Aerial-Robotics/VINS-Mono
공식 코드Online Temporal Calibration for Monocular Visual-Inertial Systems
https://github.com/HeyuanMingong/iwies
공식 코드https://github.com/InterDigitalInc/FESTA
공식 코드FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds
https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery
공식 코드Using Constraints to Discover Sparse and Alternative Subgroup Descriptions
https://github.com/JasonMa2016/CODAC
공식 코드https://github.com/JinnnK/BNBRLplus
공식 코드Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
https://github.com/Kchour/steinerpy
공식 코드S$^*$: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
https://github.com/MaverickPeter/DiSCO-pytorch
공식 코드https://github.com/MrGGLS/BlockPruner
공식 코드https://github.com/NVIDIA-AI-IOT/remembr
공식 코드ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation
https://github.com/Networks-Learning/strategic-decisions
공식 코드https://github.com/Oghma/sns-lstm
공식 코드Social and Scene-Aware Trajectory Prediction in Crowded Spaces
https://github.com/PNNL/SDS
공식 코드https://github.com/QVPR/aarapsiproject
공식 코드Improving Visual Place Recognition Based Robot Navigation By Verifying Localization Estimates
https://github.com/SPL-BGU/PEM-BiHS
공식 코드https://github.com/SRainGit/CAE-LO
공식 코드https://github.com/SaschaHornauer/Batvision
공식 코드https://github.com/Shuijing725/CrowdNav_DSRNN
공식 코드Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
https://github.com/Shuijing725/CrowdNav_Prediction_AttnGraph
공식 코드Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
https://github.com/SilinMeng0510/llm-astar
공식 코드LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
https://github.com/SitLog/source_code
공식 코드https://github.com/StanfordVL/GibsonEnv
공식 코드https://github.com/Tinker-Twins/MARL-Simulator
공식 코드Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
https://github.com/Ymm-cll/LLM-Virus
공식 코드LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
https://github.com/Zeying-Gong/Falcon
공식 코드From Cognition to Precognition: A Future-Aware Framework for Social Navigation
https://github.com/ZikangXiong/MFNLF
공식 코드Model-free Neural Lyapunov Control for Safe Robot Navigation
https://github.com/agrover112/fliscopt
공식 코드Flipping the switch on local exploration: Genetic Algorithms with Reversals
https://github.com/aig-upf/best-first-generalized-planning
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.