[robotics-worldwide] [meetings] Extended deadline: ICRA 2014 WS on "Task-based Optimal Design of Robots"

Fulvio Mastrogiovanni 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/

Important dates

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 
suboptimal design.

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 
following questions:

* 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 
reduced to?
* 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.

Program Committee

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
software tools
market needs

Paper requirements

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:

http://ras.papercept.net/conferences/support/tex.php (LaTeX)
http://ras.papercept.net/conferences/support/word.php (Word)

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 
University, China.

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

More information about the robotics-worldwide mailing list