Tree perception is an essential building block toward autonomous forestry operations. Current developments generally consider input data from lidar sensors to solve forest …
Despite its success, Model Predictive Control (MPC) often requires intensive task-specific engineering and tuning. On the other hand, Reinforcement Learning (RL) architectures …
R Jiang, B He, Z Wang, X Cheng, H Sang… - Robotic Intelligence and …, 2024 - emerald.com
Purpose Compared with traditional methods relying on manual teaching or system modeling, data-driven learning methods, such as deep reinforcement learning and imitation …
Introduction This paper presents Enactive Artificial Intelligence (eAI) as a gender-inclusive approach to AI, emphasizing the need to address social marginalization resulting from …
S Bolotta, G Dumas - Frontiers in Computer Science, 2022 - frontiersin.org
This article introduces a three-axis framework indicating how AI can be informed by biological examples of social learning mechanisms. We argue that the complex human …
D Tanneberg, M Gienger - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Symbolic planning is a powerful technique to solve complex tasks that require long sequences of actions and can equip an intelligent agent with complex behavior. The …
Federated learning (FL) has emerged as a promising approach to collaboratively train machine learning models across multiple edge devices while preserving privacy. The …
H Ye, J Zhao, Y Zhan, W Chen, L He… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Robot person following (RPF) is a crucial capability in human-robot interaction (HRI) applications, allowing a robot to persistently follow a designated person. In practical RPF …