Signal-Native Deep Learning: A Self-Supervised Framework for Autonomous Sensorimotor Intelligence
Abstract
Undergraduate researcher in the Department of Robotics and Artificial Intelligence at Bangalore Institute of Technology, Bengaluru. Working on signal-native deep learning — a self-supervised architectural framework for autonomous sensorimotor intelligence in robots. Research interests include developmental robotics, online learning systems, neuromorphic computing, and embodied AI.
Fields of Study & Subjects
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Neural Networks and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 January 2026
- Language
- EN
- Document type
- Preprint