Oscar Pang — accepted AI-conference papers

2025

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity

Luca Grillotti, Lisa Coiffard, Oscar Pang, Maxence Faldor, Antoine Cully

CoRL 2025poster

Autonomous skill discovery aims to enable robots to acquire diverse be-haviors without explicit supervision. Learning such behaviors directly on physical hardware remains challenging due to safety and data efficiency constraints. Existing methods, including Quality-Diversity Actor-Critic (QDAC), req…

Cited by 0 Source ↗Scholar ↗

2023

Learning Tethered Perching for Aerial Robots

Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark +2

ICRA 2023poster

Aerial robots have a wide range of applications, such as collecting data in hard-to-reach areas. This requires the longest possible operation time. However, because currently available commercial batteries have limited specific energy of roughly 300 W h kg-1, a drone's flight time is a bottleneck fo…

Cited by 16 Source ↗Scholar ↗