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PointGoal Navigation
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Point goal navigation is a task where an agent navigates to a specific location, defined by coordinates (x, y), in an environment using sensory inputs like vision or depth, without a pre-built map, relying on real-time perception and decision-making.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aimagelab/ag3d
공식 코드https://github.com/devendrachaplot/Neural-SLAM
공식 코드https://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/fpv-iplab/mid-level-fusion-nav
공식 코드https://github.com/joel99/habitat-pointnav-aux
공식 코드https://github.com/nicogrande/habitat-pointnav-via-ib
공식 코드Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck
https://github.com/rpartsey/pointgoal-navigation
공식 코드https://github.com/shacklettbp/bps-nav
공식 코드https://github.com/wqi/A2L
공식 코드https://github.com/yimengli46/bellman_point_goal
공식 코드Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
https://github.com/BKAUTO/Trinocular-habitat-sim
https://github.com/GT-RIPL/robo-vln
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/Sunnyzhr/habitat-lab
https://github.com/allenai/robothor-challenge
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/ericchen321/ros_x_habitat
https://github.com/etendue/habitat-api
https://github.com/facebookresearch/habitat-api/tree/master/habitat_baselines/rl/ddppo
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/facebookresearch/habitat-challenge
https://github.com/iit-pavis/look_around_and_learn
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
https://github.com/jacobkrantz/VLN-CE
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/kaushikb258/Habitat_RL
https://github.com/nyu-wireless/mmwRobotNav
https://github.com/opendilab/DI-engine
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/pytorch/rl
https://github.com/qxb-tyust/location
https://github.com/ray-project/ray/tree/master/rllib
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/s-gupta/map-plan-baseline
https://github.com/super5-22/habitat-vis
https://github.com/vkartik97/habitat-challenge-two-docker
https://github.com/yangysc/resinet
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/zubair-irshad/NeRF-MAE
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
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