News & Events

IDCL Teams Continue Capstone Award-Wining Tradition

This academic year, the Intelligent Dynamics and Control Lab (IDCL) proudly hosted two exceptional undergraduate teams from the Schulich School of Engineering. One team designed and prototyped an aerial manipulation system, while the other enhanced our existing Bicopter VTOL platform.

Excited to Share Our Latest MDPI Publication

Thrilled to share our latest publication, "Adaptive Incremental Nonlinear Dynamic Inversion Control with Guaranteed Stability for Aerial Manipulators" in MDPI Aerospace. This study introduces an adaptive control strategy for aerial manipulators, ensuring stability and responsiveness under challenging conditions like fast arm movements and shifting payloads.

Proud to Share Our New Publication in Springer Nature

Our latest work, "Risk-Sensitive Autonomous Exploration of Unknown Environments: A Deep Reinforcement Learning Perspective", is now published in Springer Nature, which propose a risk-sensitive deep reinforcement learning framework for autonomous exploration, reducing both fuel use and mission time.