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Mirko Branchetti

dblp:20/9968 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping › grasp optimization
grasping force optimization
0.112011
Dynamic optimization of tendon tensions in biomorphically designed hands with rolling constraints · ICRA 2011
Robotics › Robot manipulation › cable-driven robot
tendon-driven manipulation
0.112011
Dynamic optimization of tendon tensions in biomorphically designed hands with rolling constraints · ICRA 2011
Robotics › Robot manipulation › robotic hand
underactuated hand
0.012011
Dynamic optimization of tendon tensions in biomorphically designed hands with rolling constraints · ICRA 2011

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

convex analysis · 0.1computed torque control · 0.1
YearPublicationVenuePosition
2011 Dynamic optimization of tendon tensions in biomorphically designed hands with rolling constraints
abstract
Biomorphic structures for robotic manipulation based on tendon-driven mechanisms have been considered in robotic design for several decades, since they provide lightweight end-effectors with high dynamics. Following this trend, many new robot designs have being proposed based on tendon driven systems. Quite noticeably, the most advanced ones include also higher kinematic pairs and unilateral types of constraints. In this paper, we present a general framework for modeling the above class of mechanical systems for robotic manipulation. Such systems, including biomorphically designed devices, consist of articulated limbs with redundant tendinous actuation and unilateral rolling constraints. Methods based on convex analysis are applied to attack this broader class of mechanisms, and are shown to provide a basis for the dynamic control of co-contraction and internal forces that guarantee the correct operation of the system, despite limited friction between contacting surfaces or object fragility. An algorithm is described and tested that integrates a computed torque law, and allows to control tendon actuators to "optimally" comply with the prescribed constraints.
Marco Gabiccini, Mirko Branchetti, Antonio Bicchi
ICRA2