Workshop on Cooperation, Communication and Control of Collaborative Robots at the HVL Robotics lab
A workshop on cooperation, communication and control of collaborative robots will be held on May 19th 2022 in the HVL Robotics lab at Vie in Førde, Norway for the partners of the CoBotAGV project. The workshop will cover standard communication tools, control methods and simulation tools used in the HVL Robotics lab for physical Human-Robot Cooperation (pHRC). Strengths and limitations of different types of collaborative robots in the lab will be discussed, as well as calibration, safety aspects and several different use-cases for pHRC currently being developed by HVL. Methods for interaction and cooperation between humans and robots will also be covered.
Seminary on CoBotAGV project
Wednesday, 18.05.2022 on HVL, Campus Førde, auditorium Førde, 10:00
|
opening of seminary |
Rafal Cupek, SUT Marcin Fojcik, HVL |
10:15 |
|
Utility-Oriented Techniques, Modeling, and Analytics |
Jerry Chun-Wei Lin, HVL |
10:30 |
|
Coffee break + discussion |
11:30 |
|
|
WP1 - mobile collaborative robot integrated with the AGV platform |
||
|
Human-Robot Cooperation – methods and roles |
Erik Kyrkjebø, HVL |
12:00 |
|
Calibration of 2D LiDAR sensors |
Piotr Biernacki, SUT |
12:20 |
|
Using proximity sensors for AGV docking |
Damian Grzechca, SUT |
12:40 |
|
Coffee break + discussion |
13:00 |
|
|
WP2 - integration between production stands and manufacturing services |
||
|
Simulation methods for autonomous vehicles - the concept of simulation in Gazebo |
Jakub Szygula, SUT Dariusz Marek, SUT |
13:15 |
|
Different approaches to wireless communication between AGV and standalone machine |
Ireneusz Smolka, SUT |
13:35 |
|
Grouping algorithms that operate on data stream |
Tomasz Stenclik, SUT |
13:55 |
|
Coffee break + discussion |
14:15 |
|
|
Wireless network for AGV |
Anne-Lena Kampen, HVL |
14:30 |
|
WP3 - Business Intelligence services that support planning and optimizing logistics tasks, including maintenance activities |
||
|
Federated Learning and Deep Learning for AGV Anomaly Detection |
Bohdan Shubin, SUT Daniel Kostrzewa, SUT |
14:50 |
|
WP4 - system prototype verified and improved via development works based on industrial research |
||
|
Triangulation-based approach for enhancing AGV position using LIDAR and 2D markers |
Jakub Musiał, AIUT |
15:10 |
|
Closing of seminary |
Rafal Cupek, SUT Marcin Fojcik, HVL |
15:30 |
Registration of participation -
PRESENTATIONS
Federated learning and deep learning for agv anomaly detection
Human-Robot cooperationfor CoBotAGVs - Methods and roles(and application)
Utility-Oriented Techniques, Modeling, and Analytics
Workshop onCooperation, Communication and Control of Collaborative Robots - HVL Robotics lab
Calibration of 2D LiDAR sensors
Using proximity sensors for AGV docking side site case approach
Simulation methods for autonomous vehicles - the concept of simulation in Gazebo
Wireless network for AGV