Recently, intelligent perception and navigation techniques have obtained wide attention in the ar-eas of autonomous robots and systems. Autonomous robots and systems capable of conquering well and partially-structured environments are emerging. As we look to the future, robots that are capable of operating in genuinely unstructured and dynamic environments remain a significant challenge. In such challenging environments, each robot is expected to learn/adapt their surrounding environment via intelligent sensors (such as optical, vision or acoustic sensors) while performing goal-oriented nav-igation and completing the task with only onboard resources. On top of single robot autonomy, diverse capabilities of heterogeneous robots are brought together to achieve enhanced performance in task planning, cooperative teaming, planetary exploration. Heterogeneous robots and systems can be evi-dent as physical difference between robots (UAV, UGV, USV, Autonomous Vehicles, etc.) or as be-havioral difference when robots serve diverse roles in a cooperating team. Therefore, this workshop will seek to:
The workshop took place on September 27th, 2021 (Prague Time)
The workshop is supported by IEEE RAS Technical Committee on “Autonomous Ground Vehicles and Intelligent Transportation Systems”.
1) Danwei Wang, School of Electrical and Electronic Engineering, Nanyang Technological University, firstname.lastname@example.org
2) Christian Laugier, Inria Grenoble Rhône-Alpes, email@example.com
3) Philippe Martinet, Inria Sophia-Antipolis, firstname.lastname@example.org
4) Yufeng Yue, School of Automation, Beijing Institute of Technology, email@example.com