Gaurav Parmar
Papers
2
Total Citations
19
H-Index
2
About
Gaurav Parmar is a researcher at the forefront of human-robot interaction and creative robotics, with a particular focus on collaborative artistic systems. His major contributions center on developing frameworks that enable robots to move beyond autonomous task execution and engage in real-time, co-creative processes with humans. Parmar’s most notable work, **CoFRIDA**, introduces a self-supervised fine-tuning approach for human-robot co-painting, addressing a critical gap in prior systems like FRIDA—where interaction was largely limited to the input stage. By enabling a robot to actively adapt and collaborate during the painting process, his research transforms the user from a mere instructor into a genuine creative partner. This work has garnered significant attention, with the 2024 paper accumulating **17 citations** and establishing a new paradigm for interactive robotic art. Parmar’s achievements lie in bridging the sim-to-real gap while expanding the modalities of human-robot collaboration, making him a key figure in the emerging field of co-creative robotics. His research is essential reading for students and researchers interested in how robots can learn to collaborate, adapt, and create alongside humans in real-time.
Research Focus
Key Achievements
Top Papers
- 1CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting17 citations · 2024
- 2CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting2 citations · 2024