The 2020 CORSMAL Challenge Multi-modal fusion and learning for robotics

Presentation Title	Presentation Authors	Affiliation
Welcome and opening	Organizers	QMUL
Collaborative Object Recognition, Shared Manipulation and Learning presentation	Organizers	QMUL
Challenge presentation	Organizers	QMUL
Top-1 CORSMAL Challenge 2020 submission: Filling mass estimation using multi-modal observations of human-robot handovers	Vladimir Iashin, Francesca Palermo, Gokhan Solak Claudio Coppola	Tampere University, Finland
Audio-Visual Hybrid Approach for Filling Mass Estimation	Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito	Keio University, Japan
VA2Mass: Towards the Fluid Filling Mass Estimation via Integration of Vision & Audio	Qi Liu, Fan Feng, Chuanlin Lan, and Rosa H.M. Chan	City University of Hong Kong, Hong Kong, China
Round table	All participants
Challenge leaderboard and next steps	Organizers	QMUL