IROS 2017 Workshop

Introspective Methods for Reliable Autonomy

Deadline extension

Upon the popular request we extend the submission deadline until 06-08-2017.
The details of the call are available at Papers. To submit the ready paper please visit EasyChair.


As humans, doubt and understanding our own limitations, failures and shortcomings is a key for improvement and development. Such knowledge alters our behaviors e.g. to execute tasks in a more cautious way. Equipping robots with a set of skills that allows them to assess the quality of their sensory data, internal models, used methods etc. is correspondingly believed to greatly improve the overall performance of an autonomous system.

The aim of this workshop is to discuss the following question:

How to assess the quality of internal models, methods and sensor data, used by robots and how to alter their behavior upon this information?

With respect to humans, introspection is the process of examining one’s internal state. Robots do not have thoughts neither feelings, only data, hardware and algorithms.

Therefore, robots can only assess the quality of sensor data, internal models, representations, information, perception input etc. Such knowledge can later lead to a modification of robots behavior by including the assessed quality score in the planning process.

Introspection relates to safety, active perception, mapping and many topics. These topics have a direct impact on a variety of research areas, such as long term autonomy, search and rescue, and many others. Long term autonomy can benefit from autonomous failure recovery and active learning. For Search and Rescue, estimation of the confidence of the sensor input and used maps is essential for overall risk assessment. Moreover, for a large variety of tasks assessing the quality of sensor data, internal models, representation, information will directly affect mission success. The ability to reason and solve its own failures, and proactively enrich owned knowledge is a direct way to improve autonomous behaviours of a robot.


31-07-2017 Final Deadline Extension
Upon the popular request the papers can be submitted until 06-08-2017. For details see Papers
14-07-2017 Deadline Extension
Upon the popular request the papers can be submitted until 31-07-2017. For details see Papers
04-05-2017 Call for papers
Now you can submit your contribution for the workshop. See Papers
26-04-2017 Acceptance of the Workshop
Our Workshop was accepted and will take place during IROS 2017!
15-03-2017 Project on ResearchGate
If you are interested in the problem of robotic introspection join us on ResearchGate
13-03-2017 Page is up
The website of the workshop is published and ready for use.


  • Internal assessment
    • Map quality assessment
    • Perception quality assessment
    • Classification quality assessment
  • Analysis
    • Failure analysis
    • Execution monitoring
  • Introspection-related actions
    • Active learning
    • Failure recovery
    • Reconfigurable robots
    • Planning with uncertainty

Invited speakers

Martial Hebert

Carnegie Mellon University - Robotics Institute

Abstract - TBA

Oliver Brock

Technische Universität Berlin - Robotics and Biology Laboratory

Abstract - TBA

Rudolph Triebel

DLR - Robotics and Mechatronics Center

Abstract - TBA

Andreas Birk

Jacobs University - Jacobs Robotics

Abstract - TBA

Leon Kester


Abstract - TBA

Raymond Sheh

Curtin University - Intelligent Robots Group

Abstract - TBA

Ingmar Posner

University of Oxford - Oxford Robotics Institute

Abstract - TBA

Michael Ruhnke

Marble Robot Inc.

Abstract - TBA


Time Event
9:00-9:05 Welcome
9:05-9:40 Michael Ruhnke
9:40-9:55 Coffe break
9:55-10:30 Oliver Brock
10:30-11:05 Rudolph Triebel
11:05 - 11:40 Andreas Birk
11:40 - 12:40 Lunch Break
12:40 - 13:15 Leon Kester
13:15 - 13:50 Raymond Sheh
13:50 - 14:25 Ingmar Posner
14:25 - 15:00 Martial Hebert
15:00 - 15:45 Presentation of submitted papers
15:45 - 16:00 Coffee break
16:00 - 17:20 Panel discussion
17:20 - 17:30 Closing

This workshop is supported by:

Organizers and committee

Tomasz Piotr Kucner

Orebro University - AASS


Sören Schwertfeger

SahanghaiTech University - STAR-Lab

Martin Magnusson

Orebro University - AASS

Achim J. Lilenthal

Orebro University - AASS


Tom Duckett

University of Lincoln

Tomáš Krajník

University of Lincoln

Robert Krug

Royal Institute of Technology (KTH)

Bruno Lacerda

University of Birmingham

Timm Linder

University of Freiburg/
Bosch Corporate Research

Stephanie Lowry

Örebro University

Masoumeh Mansouri

Örebro University

Luigi Palmieri

University of Freiburg
Bosch Corporate Research

Juan Rojas

Guangdong University of Technology

Erik Schaffernicht

Örebro University

Todor Stoyanov

Örebro University

Serge Thill

University of Skövde

Rafael Valencia

Carnegie Mellon University