Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Michele Vivian

dblp:135/8198 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 50% Legged, aerial and field robots · 50%
Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot dynamics
dynamic simulation		 0.212013
Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots · ICRA 2013
Robotics › Legged, aerial and field robots
humanoid robot		 0.212013
Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots · ICRA 2013
Robotics › Legged, aerial and field robots › humanoid robot
humanoid walking		 0.212013
Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots · ICRA 2013
Robotics › Motion planning and robot control
robot control		 0.212013
Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots · ICRA 2013
Computer animation and physical simulation
contact simulation		 0.012013
Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots · ICRA 2013

Methods — techniques the papers use, named apart from their topics

motion capture · 0.3contact parameter calibration · 0.3
YearPublicationVenuePosition
2013 Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots
abstract
With this work we introduce a novel methodology for the simulation of walking of a humanoid robot. Motion capture technology is used to calibrate the dynamics engine internal parameters and validate the simulated motor task. Results showed the calibrated contact model allows predicting dynamically consistent ground reaction forces and producing realistic whole-body kinematics.
Michele Vivian, Monica Reggiani, Massimo Sartori
 ICRA1