Seminar: Team CSIRO Data61 at the DARPA Subterranean Challenge, 12th September, 1pm

When: Monday 12th of September, 1pm AEDT

Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom, RSVP here.

Speaker: Navinda Kottege (CSIRO)

Title: Team CSIRO Data61 at the DARPA Subterranean Challenge


Team CSIRO Data61 tied for the top score and won a US$1M prize at the final event of the recently concluded DARPA Subterranean Challenge, a 3yr long international field robotics competition. This challenge aimed to develop technologies that would support first responders to rapidly explore underground environments such as caves, tunnels or built up areas that are too dangerous for humans to enter. This talk will present the technology developed and deployed in this competition by Team CSIRO Data61 to address various challenges in perception, mobility and autonomy.


Navinda is the Group Leader for Robotics and Autonomous Systems at CSIRO’s Data61. He was the Principal Investigator and project leader for the CSIRO Data61 team that competed and won 2nd place in the DARPA Subterranean Challenge. Navinda initiated and led legged robot research within CSIRO since 2011, an activity that has grown into a world-class R&D capability within the organisation. Before stepping into the Group Leader role, he led the Dynamic Platforms team and conducted research in legged robot navigation, perception and control with multi-legged robots with a focus on locomotion in complex unstructured environments. Navinda joined CSIRO in 2009 after completing his PhD in Engineering at The Australian National University. For his PhD, he conducted research in underwater robotics, developing swarming technology for the Serafina autonomous underwater vehicles. He is a senior member of the IEEE, and is the past chair of the IEEE Queensland joint chapter for Control Systems/Robotics and Automation Societies. He is also a member of the ACM, and an Adjunct Associate Professor at both the Queensland University of Technology and the University of Queensland.


Sydney Institute for Robotics and Intelligent Systems