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/dwtang/chsvi
공식 코드A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach
https://github.com/eku127/dualmap
공식 코드https://github.com/ethz-asl/navrep
공식 코드https://github.com/etri/nest-compiler
공식 코드https://github.com/facebookresearch/OccupancyAnticipation
공식 코드Occupancy Anticipation for Efficient Exploration and Navigation
https://github.com/facebookresearch/habitat-api
공식 코드DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/facebookresearch/habitat-lab
공식 코드VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement
https://github.com/facebookresearch/habitat-matterport3d-dataset
공식 코드Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
https://github.com/facebookresearch/habitat-sim
공식 코드https://github.com/facebookresearch/pyrobot
공식 코드PyRobot: An Open-source Robotics Framework for Research and Benchmarking
https://github.com/feedzai/research-arms
공식 코드https://github.com/fpv-iplab/mid-level-fusion-nav
공식 코드https://github.com/freeformrobotics/lifelong-monodepth
공식 코드Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
https://github.com/gdam90/hyp2nav
공식 코드Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
https://github.com/gkahn13/CAPs
공식 코드Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
https://github.com/gkahn13/badgr
공식 코드BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
https://github.com/gkahn13/gcg
공식 코드Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
https://github.com/gnns4hri/sngnnv2
공식 코드A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
https://github.com/gnns4hri/socnavgym
공식 코드SocNavGym: A Reinforcement Learning Gym for Social Navigation
https://github.com/google-research/human-scene-transformer
공식 코드Robots That Can See: Leveraging Human Pose for Trajectory Prediction
https://github.com/habicrowd/HabiCrowd
공식 코드HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
https://github.com/hamidthri/navbot_ppo
공식 코드Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
https://github.com/hanruihua/NeuPAN
공식 코드NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
https://github.com/hehao13/EBLNet
공식 코드Enhanced Boundary Learning for Glass-like Object Segmentation
https://github.com/hqitao/textinplace
공식 코드https://github.com/huangdiudiu/eqv
공식 코드https://github.com/igashov/retrobridge
공식 코드https://github.com/imrclab/flying_adversarial_patch
공식 코드Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
https://github.com/insait-institute/dager-gradient-inversion
공식 코드https://github.com/interaction-lab/hribench
공식 코드https://github.com/intrinsic-ai/collision-avoidance-metric
공식 코드https://github.com/ivy-dl/memory
공식 코드https://github.com/jaewoo97/kdtf
공식 코드Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
https://github.com/jakob-bach/alternative-feature-selection
공식 코드Finding Optimal Diverse Feature Sets with Alternative Feature Selection
https://github.com/jeongeun980906/Zeroshot-Active-VIsual-Search
공식 코드Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.