[robotics-worldwide] [meetings] Extended deadline: ICRA 2014 WS on "Task-based Optimal Design of Robots"
fulvio.mastrogiovanni at unige.it
Tue Mar 18 09:06:36 PDT 2014
Extended deadline for the workshop on
"Task-based Optimal Design of Robots"
co-located with the 2014 IEEE International Conference on Robotics and
Automation (ICRA 2014), Hong Kong, China, May 31 - June 7, 2014
Web site: http://taskbasedoptimaldesignofrobots.co.nf/
Deadline for submission: *extended* to March 24, 2014
Notification of acceptance: *extended* to March 30, 2014
Submission of camera ready version: April 7, 2014
Workshop date: May 31, 2014
Real-world robot tasks, to be executed in unstructured and highly
dynamic environments, often require the optimization of some component
of the whole robot architecture in order to maximize a given measure of
performance (e.g., related to computational or energetic parameters).
This is even more important when task-dependent functional requirements
(e.g., related to safety or other operating conditions) must be guaranteed.
This Workshop aims at bridging two important, partly overlapping and
constantly evolving fields of research, namely optimal robot design and
task-based design of robots. The former features a wide adoption of
optimization and search techniques in order to design robot parts,
especially for what concerns their dimensioning, according to a number
of optimality criteria. The latter, also known as task-oriented robot
design, deals with a wider set of goals, including the choice between
different kinds of mechanical designs and control architectures, the
selection of the proper number of degrees of freedom as well as the kind
of joints to be used, the adoption of a suitable locomotion system and
part shape, just to name but few.
Task-based design often precedes optimization. Although formal methods
exist to determine the most appropriate type of mechanism for the task
at hand, these are seldom applied to robot design and, in most cases,
critical choices are based more on the experience of the designer and on
empirical considerations rather than on a formal analysis of
requirements and constraints. However, when considered as distinct
design phases, we argue that a sequential approach cannot lead but to a
The main objective of this Workshop is to foster the current debate in
the application of optimization and search techniques to task-based
robot design, in order to learn and spread good practices across the
Robotics research community. The Workshop will try to address the
* What are the most relevant robot design problems to address in the
upcoming few years?
* What are promising modelling methods to formalize such problems?
* Are there good practices to formalize a robot design problem as a well
known optimisation problem?
* Are the existing performance measures suitable or is there a need for
the introduction of new ones?
* Are there prototypical problems which robot design problems can be
* Is it possible to identify benchmarking test cases?
* How to ensure and validate the consistency of the models from the
early stages of the design process?
The objective of the Workshop is to elicit and share best practices in
order to (1) create a research community working on this topic (2) by
means of well-defined case studies and benchmarking scenarios (3) in
order to lead to a possible industry-oriented exploitation of results.
We wish to: (i) introduce the use of optimization techniques from the
initial phases of robot design, (ii) keep modelling overhead under
control, (iii) shorten the time-to-market required to deploy real-world
robot systems, (iv) identify categories of problems in task-based robot
design, (v) assess key steps toward the development of new mathematical
and software tools, (vi) identify and overcome common obstacles, as far
as conceptual (e.g., unclear or undefined requirements), economical
(e.g., a prototype is due in a short time) and cultural (e.g., knowledge
gap between designers and mathematicians) aspects are concerned, (vii)
identify novel ways of applying optimization techniques to task based
robot design, (viii) promote an industry-oriented exploitation of
results. Field experiences and success stories are particularly welcome.
Aude Billard (Ecole Polytechnique Federale de Lausanne, Switzerland)
Stephane Caro Stephane Caro (CNRS/IRCCyN, France)
Howie Choset (Carnegie Mellon University, USA)
Nak Young Chong (Japan Advanced Institute of Science and Technology, Japan)
Feng Gao (Shanghai Jiao Tong University, China)
Qiaode Jeffrey Ge (Stony Brook University, USA)
Venkat N. Krovi (University at Buffalo, USA)
Xinjun Liu (Tsinghua University, China)
Katja Mombaur (Ruprecht-Karls-Universitat Heidelberg, Germany)
Francesco Nori (Istituto Italiano di Tecnologia, Italy)
Emanuel Todorov (University of Washington, USA)
Dan Zhang (Ontario Institute of Technology, Canada)
The topics are related (but not limited) to:
optimal robot design
task-based design of robots
optimization and search models
algorithms for robot design
benchmarking and use case scenarios
optimization-based design of robot mechanisms
Researchers presenting their results at the Workshop will be requested
to submit a 4-page extended abstract, including figures, tables and
PDF files formatted in conformance with the ICRA 2014 manuscript
guidelines available at:
must be sent to Cristiano Nattero at:
cristiano.nattero at unige.it
We ask the contributors to dedicate a specific (mandatory) section of
the abstract to suggest answers to the questions posed in the Abstract
above and (optionally) to introduce new ones. The extended abstracts
will form the Workshop Proceedings. We are evaluating a post-Workshop
extended publication of results.
Cristiano Nattero. Department of Informatics, Bioengineering, Robotics
and Systems Engineering, University of Genoa, Italy.
Wei-Zhong Guo. Institute of Design and Control Engineering for Heavy
Equipment, School of Mechanical Engineering, Shanghai Jiao Tong
Fulvio Mastrogiovanni. Department of Informatics, Bioengineering,
Robotics and Systems Engineering, University of Genoa, Italy.
For any inquiry please send an e-mail to the Organizers at:
cristiano.nattero at unige.it
wzguo at sjtu.edu.cn
fulvio.mastrogiovanni at unige.it
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