Vijay Chandiramani — accepted AI-conference papers

2025

Soft-Rigid Coupled Blade Leg Achieves Spatio-temporal Terrain Classification with Minimal Sensor Configuration

H. P. Chapa Sirithunge, Vijay Chandiramani, Yue Xie, Helmut Hauser, Andrew Conn, Fumiya Iida

IROS 2025

Fast-legged humanoid robots are transforming industries from manufacturing to medical robotics, with the global market projected to grow from $0.67 billion in 2024 to $2.27 billion by 2033 at a 14.3% CAGR. Despite rapid advancements, challenges remain in navigating complex terrains, especially uneve

Cited by 0 Source ↗Scholar ↗

2024

Improving Legged Robot Locomotion by Quantifying Morphological Computation

Vijay Chandiramani, Helmut Hauser, Andrew T. Conn

IROS 2024poster

Many robotic and biological systems exploit their morphology’s interaction with the environment to become more adaptable, more energy efficient, and to simplify their control. The principles of morphological computation (MC) have been increasingly studied in recent years and researchers have investi…

Cited by 0 Source ↗Scholar ↗