Chang Rajani
Papers
1
Total Citations
4
H-Index
1
About
Chang Rajani is a rising force in robotics and embodied intelligence, whose work centers on the co-adaptation of robot morphology and control. Her most-cited paper, "Co-imitation: Learning Design and Behaviour by Imitation" (2023, 4 citations), tackles a foundational challenge: how robots can simultaneously evolve their physical structure and learned behaviors to master a task, much like animals do in nature. This research promises to reduce the expensive, manual hardware engineering that currently limits robotic deployment, pushing toward systems that can autonomously optimize both body and brain. While early in her career, Rajani’s focus on imitation learning as a mechanism for co-adaptation is novel, bridging developmental robotics and evolutionary design. Her work is already sparking interest in the community for its potential to create more adaptive, self-improving robots. As she continues to publish, Rajani is poised to make significant contributions to the future of autonomous, task-driven robot design.
Research Focus
Key Achievements
Top Papers
- 1Co-imitation: Learning Design and Behaviour by Imitation4 citations · 2023