[robotics-worldwide] [News][CFP] IEEE RAM Special Issue on "Emerging Paradigms for Robotic Manipulation: from the Lab to the Productive World"
maria.pozzi at unisi.it
Wed Mar 11 02:55:01 PDT 2020
We kindly invite you to submit your contributions to the following special
*"Emerging Paradigms for Robotic Manipulation: from the Lab to the
*IEEE Robotics & Automation Magazine Special Issue*
*Call for papers:*
This special issue will explore cutting-edge technologies in robotic
grasping and manipulation that have gone further than pure research
environments and are currently being tested or implemented in real-world
scenarios. In particular, submission of joint works between industries and
research centers in diverse application areas such as production lines,
entertainment, medical devices, and human-robot collaboration are
encouraged. The special issue will bring attention on the most recent
applied advances in robotic manipulation and grasping, and most
importantly, the main challenges addressed to transfer these technologies
to the productive world.
The main topics targeted with this special issue include, but are not
- New design paradigms for robotic hands and hand prostheses
- New control paradigms for robotic grasping and dexterous manipulation
- Artificial Intelligence applied to robotic grasping and manipulation
- Human-robot co-manipulation and handover: safety, ergonomics, ease of
learning, and mutual understanding.
- Technology transfer challenges from research labs to industry in
scenarios ranging from purely autonomous robotics to human-robot
- Incorporating new paradigms into existing companies: do we need to
restructure the working place for the new systems?
- Problems and solutions when integrating several existing research outputs
into an overall working solution: description of successfully integrated
systems and their working principles.
- Call for papers: 10 March 2020
- *Submission deadline: 1 May 2020*
- Foreseen publication date: March 2021
Virginia Ruiz Garate, Maria Pozzi, Arash Ajoudani, Kensuke Harada, Monica
Malvezzi, Maximo Roa, Leonel Rozo.
Maria Pozzi, Ph.D.
Post-Doc in Robotics and Automation
Email: maria.pozzi at unisi.it
Department of Information Engineering and Mathematics, University of Siena
Advanced Robotics Department (ADVR), Istituto Italiano di Tecnologia (IIT)
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