Results 141 to 150 of about 22,761 (267)

Fractional order tracking control of a disturbed differential mobile robot. [PDF]

PLoS One
Aguilar-Pérez JI, Duarte-Mermoud MA, Velasco-Villa M, Castro-Linares R.   +3 more
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. [PDF]

Front Robot AI
Alexander A, Vangaveeti VNS, Venkatesan K, Mounsef J, Ramanujam K.   +4 more
europepmc   +1 more source

Otonom mobil robot

, 2007
Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü ...
openaire   +2 more sources

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

DPDQN-TER: An Improved Deep Reinforcement Learning Approach for Mobile Robot Path Planning in Dynamic Scenarios. [PDF]

Sensors (Basel)
Gao S, Xu Y, Guo X, Liu C, Wang X.
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

A mobile robot safe planner for multiple tasks in human-shared environments. [PDF]

PLoS One
Mi J, Zhang X, Long Z, Wang J, Xu W, Xu Y, Deng S.   +6 more
europepmc   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Design a path - planning strategy for mobile robot in multi-structured environment based on distributional reinforcement learning. [PDF]

MethodsX
Nguyen AT, Pham DD, Le VN, Luu VH.
europepmc   +1 more source