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Long-term Autonomy and Deployment of Intelligent Robots in the Real-world


ICRA2018 Workshop: Long-term Autonomy and Deployment of Intelligent Robots in the Real-world

From driverless cars to autonomous harvesters to service robots, mobile robots are leaving the factories and entering less structured, more complex and dynamic environments. The key competence of these robots is the ability of reliable operation for long periods of time under changing and unpredictable environmental conditions. In other words, these robots need to be persistent and demonstrate a high level of robustness and fault tolerance and recovery, and above all of that, they have to be able to adapt over time to the changes in their operational environment. However, development and testing of these competences is difficult and tedious, because it goes far beyond running proof-of-concept experiments in controlled environments for a limited period of time. This makes any experience with long-term deployment of autonomous systems a valuable knowledge. In this workshop, we invite a number of renowned experts in the field who will highlight the main challenges these robots face and talk about their own experiences and the lessons they learnt during long-term deployments of their robots. We also call for papers that address the long-term autonomy problem.

Workshop topics:

  • Spatial and temporal representations for long-term mapping and localization,
  • Reasoning about environmental appearance and structural change,
  • Long-term mission planning and exploration,Lifelong learning and adaptation,
  • Context-dependent decision making,
  • Verification of long-term autonomous systems,
  • Robust recovery behaviors.

Important dates & information

Important dates

March 19th – Submission – follow the link

April 19th – Notification of acceptance

April 22nd – Camera ready paper

May 25th – Workshop (full-day)


Authors are required to submit a 2 pages extended abstract or 4 pages short paper or 6 pages full paper as PDF in the standard ICRA conference format



Submissions will be judged based on relevance to the workshop topics, technical quality, and novelty. Authors of accepted papers are expected to give a lightning talk (2-3 minutes) and to present a poster at the workshop. A number of full papers will be selected for longer 10-15 oral presentation. The authors of the best full paper will be awarded 0.01 BTC.


Friday 25th May 2018





Brisbane Convention & Exhibition Centre

Welcome and workshop overview. Speakers: Workshop Organisers


"Visual Localization under Day-Night Changes" Speaker: Torsten Sattler (ETH Zurich)


"Visual Localization Under Strong appearance Changes" Speaker: Cyrill Stachniss (Bonn University)


Speaker: Carl Wellington, Uber


coffee break


"Long-term Autonomy for Self Driving Cars: Challenges and Opportu- nities?" John Leonard (MIT)


3 minutes lightning talks


Lunch and posters


"Deploying Service Mobile Robots, And Keeping Them Autonomous" Joydeep Biswas (UMass Amherst)


"One Map To Rule Them All?" Paul Newman (Oxford Univer- sity)


Coffee break and posters


"Designing for Long-Term Autonomy: Experiences with Collaborative Robots" Jonathan Kelly (Uni of Toronto)


"One Year of Autonomy in Everyday Environments: The STRANDS Projec" Marc Hanheide (Uni of Lincoln, UK)


Panel discussion


Concluding remarks


Carl Wellington

Carl Wellington

Uber Advanced Technologies Group

Joydeep Biswas

Joydeep Biswas

UMass Amherst

Paul Newman

Paul Newman

University of Oxford

Cyrill Stachniss

Cyrill Stachniss

University of Bonn

Jonathan Kelly

Jonathan Kelly

University of Toronto

John Leonard

John Leonard


Torsten Sattler

Torsten Sattler


Marc Hanheide

Marc Hanheide

University of Lincoln, UK


Feras Dayoub

Feras Dayoub

Australian Centre for Robotic Vision, Queensland University of Technology, AU

Lars Kunze

Lars Kunze

Oxford Robotics Institute, Oxford UK

Tomas Krajnik

Tomas Krajnik

Czech Technical University, Prague

Niko Suenderhauf

Niko Suenderhauf

Australian Centre for Robotic Vision, Queensland University of Technology, AU

Manuela Veloso

Manuela Veloso

Carnegie Mellon University, USA


Feras Dayoub

Feras Dayoub

Australian Centre for Robotic Vision, Queensland University of Technology, Brisbane


+61 7 3138 4276

Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
+61 7 3138 7549