Conference Agenda

Session
Robotics Technologies for Control, Smart Manufacturing and Logistics
Time:
Thursday, 09/Sept/2021:
12:00pm - 2:00pm

Session Chair: Anatol PASHKEVICH
Session Chair: Sergei Savin
Virtual location: Thursday Room 6

Presentations
ID: 150 / RTC: 1
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics
Keywords: Unmanned Aerial Vehicles, Automatic Drones, Inspection, Virtual Simulation

Automatic Drones for Factory Inspection: The Role of Virtual Simulation

Omid Maghazei, Torbjørn H. Netland, Dirk Frauenberger, Tobias Thalmann

ETH Zurich, Switzerland



ID: 196 / RTC: 2
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics
Keywords: Lie group, geometric error model, Sobol method, error sensitivity analysis

Geometric error modeling and sensitivity analysis of a laser pipe-cutting system based on Lie group and Sobol method

Yuze Jiang, Wenyu Yang, Liang Qin, Tong Ding

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China



ID: 109 / RTC: 3
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics
Keywords: Serial manipulator, Tensegrity mechanisms, Kinematic control, Redundancy resolution, Obstacle-avoidance

Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment

Wanda ZHAO1, Anatol PASHKEVICH1,2, Damien CHABLAT1,3

1Laboratoire des Sciences du Numérique de Nantes(LS2N), UMR CNRS 6004, Nantes, France; 2IMT Atlantique Bretagne Pays de la Loire, Nantes, France; 3Centre National de la Recherche Scientifique (CNRS) , France



ID: 559 / RTC: 4
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics
Keywords: Generation of tensegrity structures, Force density method, Convex optimization

Seed-and-Prune Approach for Rapid Discovery of Tensegrity-like Structures of the Desired Shape

Sergei Savin

Innopolis University, Russian Federation



ID: 520 / RTC: 5
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics
Keywords: Deformation of a tensegrity structure, Supervised learning, Dataset generation

Tensegrity Morphing: Machine Learning-based Tensegrity Deformation Predictor for Traversing Cluttered Environments

Eduard Zalyaev, Sergei Savin

Innopolis University, Russian Federation