Results 101 to 110 of about 8,269 (263)

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic obstacle avoidance methods necessitates the establishment of a metric to quantify the environment's difficulty, a crucial aspect that remains unexplored.
Moji Shi, Gang Chen 0036, Álvaro Serra-Gómez, Siyuan Wu, Javier Alonso-Mora   +4 more
openaire   +2 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

A Survey on Obstacle Detection and Avoidance Methods for UAVs

Drones
Obstacle avoidance is crucial for the successful completion of UAV missions. Static and dynamic obstacles, such as trees, buildings, flying birds, or other UAVs, can threaten these missions.
Ahmad Merei, Hamid Mcheick, Alia Ghaddar, Djamal Rebaine   +3 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Obstacle avoidance and formation control of multiple unmanned vehicles in complex environments based on artificial potential field method

工程科学学报
Addressing the increasing complexity of tasks, single unmanned vehicles have become unable to meet actual operational requirements, prompting a shift toward multivehicle formation systems.
Yilin MEI, Likun CUI, Xueyan HU, Guangqi HU, Hao WANG   +4 more
doaj   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

A SAC-Bi-RRT Two-Layer Real-Time Motion Planning Approach for Robot Assembly Tasks in Unstructured Environments

Actuators
Due to the uncertainty and complexity of the assembly process, the trajectory planning of a robot needs to consider the real-time obstacle avoidance problem when it completes the assembly in the unstructured workspace.
Qinglei Zhang, Siyao Hu, Jianguo Duan, Jiyun Qin, Ying Zhou   +4 more
doaj   +1 more source

Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation

Advanced Robotics Research, EarlyView.
A magnetic tip mount is designed for a miniaturized 7 mm soft‐growing vine robot to enable wireless magnetic steering and onboard imaging, while preserving a 3 mm working channel. The internal–external ring magnets design balances magnetic attachment with low eversion pressure. Experiments demonstrate ±90° steering, 34 mm bending radius, and successful
Andrea Yanez Trujillo, Joshua Davy, James H. Chandler, James Avery, Pietro Valdastri   +4 more
wiley   +1 more source

Dynamic obstacle avoidance method for tracked robot in narrow unstructured coal mine roadways

Gong-kuang zidonghua
Existing robot obstacle avoidance methods mostly rely on a single sensor, which leads to large obstacle calibration errors and insufficient safety margins in complex unstructured roadway environments where dynamic obstacles appear randomly.
ZHOU Weiming, XU Na, LIU Zhigang
doaj   +1 more source