[robotics-worldwide] Workshop on BENCHMARKING OF HUMAN-LIKE ROBOTIC LOCOMOTION at Humanoids2013

Diego Torricelli diego.torricelli at csic.es
Tue Aug 13 01:00:52 PDT 2013

Apologies for cross-posting

			                          CALL FOR CONTRIBUTIONS

Humanoids2013 Conference - Oct 15, 2013, Atlanta (USA)

Sept 5 – Two-page abstract submission
Sept 10 – Notification of acceptance
Sept 30 – Final Paper submission
Oct 15 – Workshop day


The difficulty in defining standard benchmarks for human-like robots is an
acknowledged problem. Benchmarking research is inherently difficult since
results are typically reported only for a specific robotic system and a
self-chosen set of tasks. This makes it very difficult to compare the
results with other systems developed in different labs and tested for
different specific tasks. Moreover, there is no clear common view on what
benchmarking is and how one should evaluate a system against a particular
The recently started EU project H2R “Integrative approach for human-like
locomotion” (www.h2rproject.eu) aims to foster the international discussion
on benchmarking scheme for bipedal robots, specifically focused on
locomotion and posture. The ultimate goal of the project is to define
solutions that can be realistically adopted by the scientific community to
assess and compare human-like skills of humanoids and walking machines.
If you are a researcher in robotics, gait analysis, musculoskeletal
modelling, or neuroscience, and you are interested in answering the
questions “What does human-like mean?” and “How can we measure
human-likeness?” please participate. We look forward to sharing new ideas
with you!

This workshop will cover several aspects related to the assessment of
human-like walking and postural skills:
1)	Stability. How can human-like stability be effectively measured and
described in unperturbed and perturbed conditions?
2)	Energy efficiency. How can energy consumption be better estimated and
compared across different robotic platforms?
3)	Cognitive abilities. To what extent is disturbance prediction and
estimation relevant in human-like walking and posture? Which features should
be included in the ideal benchmarking scheme?
4)	Kinematic complexity. To what extent, and in what conditions, is high-DOF
better than low-DOF?
5)	Compliant actuation. How can compliance and co-contraction be measured in
humans and robots during dynamic conditions?
6)	Learning. Can machine learning improve the assessment of human-like
7)	Qualitative vs quantitative. To what extent quantitative measures really
improve the assessment of human-like features?
8)	Simulation. Which are the potential and limitations of simulation tools
compared to real-life robotic benchmarking?
9)	Clinical translational potential. How much can we learn for clinical
assessment of human gait? And vice versa, how much can clinical scenarios
take advantage of methods used in robotic benchmarking?
10)	Challenges. The ideal benchmarking scheme is made of fast, simple,
repeatable and reliable procedures that, most importantly, should be applied
across different bipedal machines. How far are we to this ambitious goal? To
this aim, what kind of competitions can be envisioned? What can we learn
from existing competitions?
To encourage the discussion, oral presentations will be interspersed with
activities to stimulate the debate between the attendees. We are open to
include any other topic or aspect that may be relevant. Please send us a
list of questions or new topics, we will be happy to prepare a debate on
your inputs. For more details about this workshop, please visit our website:

If you wish to participate, please send a two-page abstract by Sept 5 to
diego.torricelli at csic.es. Notification of acceptance will be given by Sept
10. All accepted contributions will be orally presented during the workshop,
to be held on October 15. 
Please note that the Humanoids 2013 conference policy requires that all the
presenters of the workshop must register for the conference

Best Regards

Diego Torricelli, Spanish National Research Council (CSIC)
Jose Luis Pons, Spanish National Research Council (CSIC)

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