Robot Navigation
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Benchmarks
Most implemented
Habitat: A Platform for Embodied AI Research
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Gibson Env: Real-World Perception for Embodied Agents
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
Papers
Human-Human & Human-Robot Interaction Transformer (H2INT) for Robot Navigation in Dense and Uncertain Crowds
Safe robot navigation in dense crowds requires reasoning about pedestrian motion and how it may change in response to a robot. However, many learning-based approaches generate pedestrian motion independently of the robot…
Reinforcement LearningRobot NavigationDevGRU: Depth-guided Visual Navigation using a Collision-aware Recurrent Model
Existing visual navigation models often aim to develop foundation models that can generalize robot navigation across diverse platforms. However, many of these models are prone to collisions when deployed in complex indoo…
Visual NavigationRobot NavigationPose EstimationDijkstra as an Oracle for Online Stochastic Shortest Path Navigation with Provable Guarantees
Mobile robots that operate in side by side with humans and critical facilities must reach their goals at low cost, despite often unknown true traversal costs of the map apriori and imperfect actuation. Planners that solv…
Robot NavigationTowards Socially Compliant Navigation in Deep Reinforcement Learning via Proxemics-Based Reward Modeling
Developing effective robot navigation methods in crowded environments is essential for real-world applications. Although recent deep reinforcement learning (DRL) methods have improved navigation performance in crowded en…
Reinforcement LearningRobot NavigationPathCover: A Fast Convex Decomposition along a Path via Randomized Iterative Space Partitioning (RISP) on Point Clouds
Autonomous robot navigation requires the rapid generation of obstacle-free regions for trajectory planning. However, existing corridor generators struggle to meet real-time, sensor-rate computational constraints. To reso…
Trajectory PlanningRobot NavigationPoint CloudsLearning Social Robot Navigation By Sensing Human Legs
Robots navigating among pedestrians typically sense their surroundings with a 2D LiDAR mounted close to the ground. At that height, the sensor mostly sees moving legs rather than whole people, yet most learning-based nav…
Reinforcement LearningRobot Navigation