David Hinwood — accepted AI-conference papers

2025

Adaptive Gaze Modulation in Social Robots: A Reinforcement Learning Approach to Attention Regulation

Nipuni H. Wijesinghe, Maleen Jayasuriya, David Hinwood, Janie Busby Grant, Damith C. Herath

IROS 2025

Attention serves as a critical antecedent to social presence, which fundamentally influences acceptance, trust, and overall interaction quality in human-robot interaction (HRI). This paper investigates the development of a gaze modulation framework that enables robots to strategically influence huma

Cited by 0 Source ↗Scholar ↗

2025

Robotic Grasping for Automated Sorting of Complex, Highly Contaminated Industrial Food Waste: A Benchmark Study

Moniesha Thilakarathna, Xing Wang, Asitha Wijesinghe, David Hinwood, Damith Chandana Herath

IROS 2025

Food waste management plays a vital role in maintaining a sustainable ecosystem, however, the presence of inorganic contaminants within food waste significantly hinders this potential. Robotic automation offers a promising solution to accelerate waste sorting, yet the diverse and unpredictable natur

Cited by 2 Source ↗Scholar ↗