I run a robot learning lab in Monash Robotics, working with a range of students and staff.

Current Members

    • Charles Troeung (Postdoc)* - Pharmaceutical automation.
    • Haoyang Jiang (Postdoc)* - Human behaviour modelling.
    • Amara Zuffer (PhD)* - Continual reinforcement learning.
    • Tin Tran (PhD)* - Safe learning-based robot control.
    • Unnati Nigam (PhD)* - Quasi-periodic Gaussian processes and applications (IITB-Monash Research Academy)
    • Lirui Guo (PhD)* - Psychological ownership and SAVs 
    • Grace Zhang (PhD) - Implicit radiance fields for vision science.
    • Juyan Zhang (PhD) - Structured probabilistic neural models for control as inference
    • Emmanuel Fashae (PhD)* - Proactive multimodal multitask human robot interaction
    • Xiao Yang (PhD) - Agentic workflows for robotics
    • Meshach Kumar (PhD) - Computational models of construal in imitation learning
    • Adedayo Akinade (PhD)* - Benchmarking deformable grasping
    • David Gill (PhD)* - Generative texture models for vision science.
    • Malak Sayour (PhD)* - Instruction generation to support vision-language navigation
    • Jin Wong (Masters) - Dexterous manipulation in cluttered environments

* co-supervision.

Industry Partners and Funders

Our lab is currently supported by

  • ARC Discovery Project ($640k) Skillphabets: Teaching robots new skills by reducing information asymmetry.
  • ARC Discovery Project ($615k) Human models for accelerated robot learning and human-robot interaction.
  • ARC Linkage Project ($1.2 M) Intelligent Robotics for Pharmaceutical Formulation Development.

Students are generally supported by central Australian government and university scholarships. We also also collaborate with industry partners like CSL-Behring, Proa and Omnia.