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Patrick Grosch

dblp:52/8370 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0001-7605-8645ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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
Motion planning and robot control · 70% Robot manipulation · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
motion planning
0.112010
Motion planning for a novel reconfigurable parallel manipulator with lockable revolute joints · ICRA 2010
Robotics › Robot manipulation
parallel manipulator
0.112010
Motion planning for a novel reconfigurable parallel manipulator with lockable revolute joints · ICRA 2010
Robotics › Motion planning and robot control › motion planning
sampling-based motion planning
0.112010
Motion planning for a novel reconfigurable parallel manipulator with lockable revolute joints · ICRA 2010
Robotics › Motion planning and robot control › singularity handling
singularity avoidance
0.012010
Motion planning for a novel reconfigurable parallel manipulator with lockable revolute joints · ICRA 2010

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

probabilistic roadmap · 0.1kinematic modeling · 0.1
YearPublicationVenuePosition
2014 The HumanoidLab - Involving Students in a Research Centre Through an Educational Initiative
abstract
Abstract: The HumanoidLab is a more than 5 year old activity aimed to use educational robots to approach students to our Research Centre. Different commercial educative humanoid platforms have been used to introduce students to different aspects of robotics using projects and offering guidance and assistance. About 40 students have performed small mechanics, electronics or programming projects that are used to improve the robots by
Guillem Alenyà, José Luis Rivero, Aleix Rull, Patrick Grosch
CSEDU (2)4
2013 A bilinear formulation for the motion planning of non-holonomic parallel orienting platforms
abstract
This paper deals with the motion planning problem for parallel orienting platforms with one non-holonomic joint and two prismatic actuators which can maneuver to reach any three-degree-of-freedom pose of the moving platform. Since any system with two inputs and up to four generalized coordinates can always be transformed into chained form, this path planning problem can be solved using well-established procedures. Nevertheless, the use of these procedures requires a good understanding of Lie algebraic methods whose technicalities have proven a challenge to many practitioners who are not familiar with them. As an alternative, we show how by (a) properly locating the actuators, and (b) representing the platform orientation using Euler parameters, the studied path planning problem admits a closed-form solution whose derivation requires no other tools than ordinary linear algebra.
Patrick Grosch, Federico Thomas
IROS1
2010 Motion planning for a novel reconfigurable parallel manipulator with lockable revolute joints
abstract
This paper introduces a class of reconfigurable parallel robots consisting of a fixed base and a moving platform connected by serial chains having RRPS (Revolute-Revolute-Prismatic-Spherical) topology. Only the prismatic joint is actuated and the first revolute joint in the chain can be locked or released online. The introduction of these lockable joints allow the prismatic actuators to maneuver to approximate 6-DoF motions for the moving platform. An algorithm for generating these maneuvers is first described. Then, a motion planner, based on the generation of a Probabilistic RoadMap (PRM) whose nodes are connected using the described maneuvers, is presented. The generated trajectories avoid singularities and possible collisions between legs.
Patrick Grosch, Raffaele Di Gregorio, Federico Thomas
ICRA1