SIMON: A mobile robot for floor contamination surveys
E. Dudar, G.D. Teese, Dietmar Wagner
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Clinical Challenges in Soft Robotics
This review explores the exciting field of soft robots for medical applications. It delves into the critical challenges facing their development, including material selection, cytotoxicity, and locomotion limitations. The review then examines promising avenues for overcoming these hurdles and achieving clinical translation.
Kailas Mahipal Malappuram+3 more
wiley +1 more source
Mapless Path Planning for Mobile Robot Based on Improved Deep Deterministic Policy Gradient Algorithm. [PDF]
Zhang S, Tang W, Li P, Zha F.
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Poka: A Necro‐Robot Beetle with a Measured Payload Ratio of 6847%
Here, Poka, a necro‐robot beetle with the ability to carry more than 68 times its own weight, is introduced, making it also a walking robot with the highest payload ratio measured to date. This paper is concerned with the design, manufacture and validation of ‘Poka', a novel millimetre‐scale necro‐robot aimed at bridging the performance gap between ...
Yordan Tsvetkov, Parvez Alam
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Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot. [PDF]
Katona K, Neamah HA, Korondi P.
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Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam+7 more
wiley +1 more source
Intelligent Control System for Brain-Controlled Mobile Robot Using Self-Learning Neuro-Fuzzy Approach. [PDF]
Razzaq Z+3 more
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Contribution to the mobile robots guidance by vision
M. Elarbi Boudihir
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Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley +1 more source
Path planning of mobile robot based on improved TD3 algorithm in dynamic environment. [PDF]
Li P, Chen D, Wang Y, Zhang L, Zhao S.
europepmc +1 more source