Research Areas

Reinforcement Learning

Data-efficient RL, active learning, exploration, 
decision‑making for science and environment

Robotics

Scalable simulation, physics-informed reasoning, multimodal sensing, mobile manipulation

Hardware Design

Co-design for robot hardware and policy learning, design space exploration for AI accelerators

Team

Headshot of Rika Antonova.
Rika Antonova   

Associate Professor

Global optimisation, co-design, reinforcement learning

Previously: Stanford, KTH, CMU, Google

Headshot of Martyna Stachaczyk.
Martyna Stachaczyk 

Postdoc
(Encode Fellow)

Neurotechnology, bioengineering

PhD: Imperial College London

Headshot of Hantao Zhong.
Hantao Zhong 

PhD Student
(Clare Hall College)

Multimodal sensing and robot mobility

MPhil: University of Cambridge
BSc: University of Edinburgh

Headshot of Jiayi Nie.
Jiayi Nie   

PhD Student
(Lucy Cavendish College)

Co-design for AI accelerators

MSc: Imperial College London
BSc: University of Manchester

Headshot of Max Tamborski.
Max Tamborski   

PhD Student
(Gonville and Caius College)

Resource-constrained on-device RL

BSc & MSc: University of Edinburgh

Headshot of Aviraj Newatia.
Aviraj Newatia    

PhD Student
(Emmanuel College)

Physics Learning and Simulation

BSc: University of Toronto

Headshot of Andy Zhou.
Andy Zhou     

PhD Student
(Downing College)

Optimization and RL for dexterity

BA, MEng: University of Cambridge

Headshot of Austin Yang.
Austin Yang   

PhD Student
(Churchill College)

Hardware design and soft robotics

MSc: Stanford University
BEng: McGill University

Headshot of Josip Josifovski.
Josip Josifovski   

Visitor
(PhD Student at TU Munich)

RL for sim-to-real robot control