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UID:6157-2022@rg-bremen-oldenburg.gi.de
CLASS: PUBLIC
SUMMARY:Informatik Kolloquium: Scenario-Based Engineering of Cognitive Robo
 ts and Systems
DESCRIPTION:Dr. Nico Hochgeschwender   ** ANTRITTSVORLESUNG **\n\nAbstract:
 \n\nThe wider adoption of autonomous, cognitive robots and systems by socie
 ty depends on the perceived trust of various stakeholders (e.g., engineers,
  users, regulators) in the dependable and ethical nature of the systems.\n\
 nHowever, developers face unprecedented engineering challenges caused by th
 e intrinsic characteristics of cognitive robots, such as their enormous des
 ign space, challenging and uncertain operating conditions, and their demand
  to recover and learn quickly from failures. The construction and responsib
 le deployment of cognitive robots remains a key challenge, calling for nove
 l concepts, methods, and tools that consider the complete life cycle of cog
 nitive robots in both the real and virtual worlds.\n\nIn this talk, I will 
 present my group’s contributions to automating the engineering of robot sof
 tware systems by combining foundational and applied research, often in coll
 aboration with the industry. To this end, I present my past, present, and f
 uture research based on the concept of scenarios, enabling developers to ca
 pture and express knowledge and assumptions regarding robot tasks, platform
 s, and environments explicitly and formally in the form of domain models. P
 reviously, these models were considered as a way to support humans during t
 he software design process, and I will show how scenarios can be exploited 
 for various testing activities (e.g., simulation-based testing, standard co
 nformance test, and adversarial testing). I argue that scenarios should be 
 used throughout the complete lifecycle of autonomous robots to ensure their
  safety, robustness, and transparency and present preliminary findings on h
 ow scenarios can be exploited by robots themselves for the sake of autonomo
 usly adapting their software to the various and changing run-time requireme
 nts induced by  the robot’s task or environment.\n\nShort Bio:\n\nNico Hoch
 geschwender is Professor for Software Engineering of Cognitive Robots and C
 ognitive Systems at University of Bremen. Before, he was a Professor for Au
 tonomous Systems at Hochschule Bonn-Rhein-Sieg (H-BRS) in Sankt Augustin, G
 ermany, where he founded the Institute of AI and Autonomous Systems. He wor
 ked in the avionics industry as a system engineer, Postdoctoral Fellow at t
 he University of Luxembourg, and Research Group Leader at DLR. His research
  interests lie at the intersection of AI-enabled Robotics and Software Engi
 neering, with a focus on ensuring dependability, transparency, and explaina
 bility of robotics and autonomous systems; benchmarking and performance eva
 luation of cognitive robots; and domain-specific modelling and languages fo
 r robotics. He holds a PhD degree from the University of Luxembourg and is 
 currently a PI of three EU-funded research projects:\n\nSESAME (Safe and Se
 cure Multi-Robot Systems), METRICS (Metrological Evaluation and Testing of 
 Robots in International Competitions), and SOPRANO (Socially-Acceptable and
  Trustworthy Human-Robot Teaming for Agile Industries). In 2013, he co-foun
 ded the RoboCup@Work league as a scientific competition targeting industria
 l and work-related scenarios and ten years later, his team won the RoboCup@
 Work competition. He is a member of the GI, VDI, and IEEE and Co-Chair of t
 he IEEE RAS Technical Committee on Software Engineering for Robotics and Au
 tomation.
LOCATION:Uni Bremen, Cartesium, Rotunde
DTSTAMP:20240115T090336Z
DTSTART:20240130T151500Z
DTEND:20240130T163000Z
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