Australian School of Robotic Systems AUSROS 2026
AUSROS 2026 is a week-long summer school covering the foundations of modern
robotics: sensing, estimation, control, planning, learning, and SLAM: through
core lectures, Deep Dive talks, hands-on sessions, and workshops.
Program, location, logistics
Please see the AUSROS Website for details
Under Construction!
Time
Session
Speaker / Notes
14:30–15:00
Introduction
Hanna Kurniawati
15:00–16:00
Ice Breaker
Thierry Peynot
16:00–18:00
Panel
Don Dansereau, sli.do
Time
Session
Speaker / Notes
09:00–10:00
Sensing
Slides
10:00–10:30
Break
10:30–11:30
Deep Dive
Brian Anderson: The Robot Pose and Related Problems
11:30–12:30
Symbolic Planning
Slides and PDDL files
12:30–13:30
Lunch
13:30–14:30
Learning Representations
Slides
14:30–15:30
Motion Planning to TAMP
15:30–16:00
Break
16:00–17:00
Planning Under Uncertainty
Slides
17:00–18:00
Hands-On: Planning
Time
Session
Speaker / Notes
09:00–10:00
Convex Optimisation
10:00–10:30
Break
10:30–11:30
Deep Dive
Dana Kulic: Risk-aware Model Learning for Robot Optimal Control
11:30–12:30
Single-Joint Control
Slides
12:30–13:30
Lunch
13:30–15:30
Workshop
15:30–16:00
Break
16:00–18:00
Workshop
18:00–18:30
Break
18:30–
Showcases: University of Canberra, UNSW Canberra
Time
Session
Speaker / Notes
09:00–10:00
State Estimation
Slides
10:00–10:30
Break
10:30–11:30
Deep Dive
John Vial: An inside perspective on the Australian robotics industry
11:30–12:30
Multi-Joint Control
12:30–13:30
Lunch
13:30–14:30
Sensor Fusion
Slides
14:30–15:30
Deep Dive
Juxi Leitner: Robust and rigorous robotics from multiple angles: academia, startup, industry
15:30–16:00
Break
16:00–
Tour → Dinner → Stargazing (evening excursion)
Time
Session
Speaker / Notes
09:00–10:00
SLAM
Slides
10:00–10:30
Break
10:30–11:30
Deep Dive
Stephen Gould: Perpetual Token Machines
11:30–12:30
Hands-On: SLAM
12:30–13:30
Lunch
13:30–14:30
Deep Dive
Jen Jen Chung: Manipulation in human-centred spaces
14:30–15:30
Hands-On: Learning
Files
15:30–16:00
Break
16:00–17:00
Deep Dive
Ahalya Prabhakar: Ergodic Control for Active Exploration and Learning
17:00–
Closing + Farewell