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Soft Robotic Grippers

Jun Shintake, Vito Cacucciolo, Dario Floreano, Herbert R. Shea • Advanced Materials (2018)

Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers. Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, ...

OPENALEX cc-by DOI: https://doi.org/10.1002/adma.201707035

Cellular Robotics and Micro Robotic Systems

T. Fukuda, T. Ueyama • World Scientific series in robotics and intelligent systems (1994)

Part 1 Decentralized robotic system. Part 2 Cellular robotics: concept of cellular robotics optimal structure determination analysis of communication amount knowledge allocation network organization automatic docking mechanism future work. ...

OPENALEX DOI: https://doi.org/10.1142/2080

Robotics and Control

G. H. Ryder, M. D. Bennett • Palgrave Macmillan UK eBooks (1990)

As equipment and systems become more complex and sophisticated, the problems of operation and control by humans have become more difficult. Modern industrial processes and production techniques often require continuous vigilance of machine ...

OPENALEX DOI: https://doi.org/10.1007/978-1-349-21112-8_16

Legged Robots That Balance

Marc H. Raibert, Ernest R. Tello • IEEE Expert (1986)

This book, by a leading authority on legged locomotion, presents exciting engineering and science, along with fascinating implications for theories of human motor control. It lays fundamental groundwork in legged locomotion, one of the leas...

OPENALEX DOI: https://doi.org/10.1109/mex.1986.4307016

Foundations of Robotics

Tsuneo Yoshikawa • The MIT Press eBooks (1990)

Foundations of Robotics presents the fundamental concepts and methodologies for the analysis, design, and control of robot manipulators. It explains the physical meaning of the concepts and equations used, and it provides, in an intuitively...

OPENALEX DOI: https://doi.org/10.7551/mitpress/3074.001.0001

Emergence of chaotic resonance controlled by extremely weak feedback signals in neural systems

Anh Tu Tran, Sou Nobukawa, Sou Nobukawa, Sou Nobukawa et al. • Frontiers in Applied Mathematics and Statistics (2024)

IntroductionChaotic resonance is similar to stochastic resonance, which emerges from chaos as an internal dynamical fluctuation. In chaotic resonance, chaos-chaos intermittency (CCI), in which the chaotic orbits shift between the separated ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fams.2024.1434119

Computation offloading and information freshness in edge-assisted networked robotic systems

Junyeong Jeon, Daniel Poul Mtowe, Dong Min Kim, Dong Min Kim • Frontiers in Robotics and AI (2026)

Camera-based wireless networked control systems must move visual information across a shared wireless link before a command can be applied, so the placement of the perception computation fixes both the communication load and the freshness o...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2026.1999591

Multisensor Fire Detection System Mobile Robot as a Learning Media in Firefighting Robotic Course

Direstu Amalia, Wildan Nugraha, Sunardi Sunardi, Rio Rizko et al. • Journal of Innovation in Educational and Cultural Research (2023)

Firefighting Robotic technology has been used for a long time to achieve aviation safety and security goals. The research is deemed necessary because of some related issues: 1) A pressing need for lecturers and students to have access to le...

DOAJ Open Access (DOAJ) DOI: 10.46843/jiecr.v4i4.1016

Benchmarking spiking neurons for linear quadratic regulator control of multi-linked pole on a cart: from single neuron to ensemble

Shreyan Banerjee, Luna Gava, Aasifa Rounak, Vikram Pakrashi • Neuromorphic Computing and Engineering (2025)

The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network complexity and optimize the number of neurons per core and hence...

DOAJ Open Access (DOAJ) DOI: 10.1088/2634-4386/ae0fc0

Robot dynamics and control

Mark W. Spong • Andalas University Repository (Andalas University) (1989)

From the Publisher: This self-contained introduction to practical robot kinematics and dynamics includes a comprehensive treatment of robot control. Provides background material on terminology and linear transformations, followed by covera...

OPENALEX

Service Robots and Robotics

Marco Ceccarelli • IGI Global eBooks (2011)

Service robots serve a wide range of people in residential, commercial, industrial, military, and many more applied fields. Service Robots and Robotics: Design and Application offers the latest research within the field, combining a mixture...

OPENALEX DOI: https://doi.org/10.4018/978-1-4666-0291-5

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Jinping Zhao, Ali Arefi, Alberto Borghetti, Gerard Ledwich • Journal of Modern Power Systems and Clean Energy (2024)

There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerba...

DOAJ Open Access (DOAJ) DOI: 10.35833/MPCE.2022.000837

Behavior-based robotics

• Choice Reviews Online (1999)

Whence behaviour? animal behaviour robot behaviour behaviour-based architectures representational issues for behavioural systems hybrid deliberative/rective architectures perceptual basis for behaviour-based control adaptive behaviour socia...

OPENALEX DOI: https://doi.org/10.5860/choice.36-5109

Evolution of prehension ability in an anthropomorphic neurorobotic arm

Gianluca Massera, Gianluca Massera, Angelo Cangelosi, Stefano Nolfi • Frontiers in Neurorobotics (2007)

In this paper, we show how a simulated anthropomorphic robotic arm controlled by an artificial neural network can develop effective reaching and grasping behaviour through a trial and error process in which the free parameters encode the co...

DOAJ Open Access (DOAJ) DOI: 10.3389/neuro.12.004.2007