Results 141 to 150 of about 14,840 (263)

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

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

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

Deep learning approaches for head pose estimation in sports impacts. [PDF]

Sports Eng
Aston T, Machtsiras G, Teixeira-Dias F.
europepmc   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

RGB-D SLAM: A Review of Methods and Performance Trade-Offs for Different Requirements. [PDF]

Sensors (Basel)
Yan Y, Li J, Liu Q, Lv S, Wu Q.
europepmc   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

Advanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

3D Pose Estimation Using Virtual Projection Based on 3D Reconstructed Model. [PDF]

Sensors (Basel)
Kim JW, Lee S, Park BS, Lee HB, Kang DH, Seo YH.   +5 more
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Generative Data Augmentation for ArUco-Free RGB-Based 6-DoF Object Pose Estimation. [PDF]

J Imaging
Scribano C, Ferrari I, Franchini G, Govi E, Sapienza D, Poppi T, Verucchi M, Bertogna M.   +7 more
europepmc   +1 more source