Chartopolis: A small-scale labor-art-ory for research and reflection on autonomous vehicles, human-robot interaction, and sociotechnical imaginaries
CHARTOPOLIS is a multi-faceted sociotechnical testbed meant to aid in building
connections among engineers, psychologists, anthropologists, ethicists, and artists …
connections among engineers, psychologists, anthropologists, ethicists, and artists …
Object goal navigation in eobodied ai: A survey
B Li, J Han, Y Cheng, C Tan, P Qi, J Zhang… - Proceedings of the 2022 …, 2022 - dl.acm.org
The Embodied AI is the current frontier direction in the field of AI and is regarded as a
research leading to general artificial intelligence. Embodied AI refers to the study and …
research leading to general artificial intelligence. Embodied AI refers to the study and …
Optimizing Reinforcement Learning-Based Visual Navigation for Resource-Constrained Devices
Existing work on Deep reinforcement learning-based visual navigation mainly focuses on
autonomous agents with ample power and compute resources. However, Reinforcement …
autonomous agents with ample power and compute resources. However, Reinforcement …
Active domain-invariant self-localization using ego-centric and world-centric maps
K Kurauchi, K Tanaka, R Yamamoto… - Computer Vision and …, 2023 - Springer
The training of a next-best-view (NBV) planner for visual place recognition (VPR) is a
fundamentally important task in autonomous robot navigation, for which a typical approach …
fundamentally important task in autonomous robot navigation, for which a typical approach …
Dynamic Reward in DQN for Autonomous Navigation of UAVs Using Object Detection
A Lagoda, SFM Sharifi, TA Pedersen… - … on Control, Decision …, 2023 - ieeexplore.ieee.org
This paper discusses the implementation of a Deep Reinforcement Learning policy, based
on DQN, which optimizes the navigation of the UAV to the front of wind turbine blades. The …
on DQN, which optimizes the navigation of the UAV to the front of wind turbine blades. The …
[PDF][PDF] Dynamic Reward in DQN for Autonomous Navigation of UAVs using Object Detection
D Arroyo, P Durdevic - vbn.aau.dk
This paper discusses the implementation of a Deep Reinforcement Learning policy, based
on DQN, which optimizes the navigation of the UAV to the front of wind turbine blades. The …
on DQN, which optimizes the navigation of the UAV to the front of wind turbine blades. The …