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Federico Cunico

2 accepted papers

2024

Exploring 3D Human Pose Estimation and Forecasting from the Robot’s Perspective: The HARPER Dataset

IROS 2024poster

We introduce HARPER, a novel dataset for 3D body pose estimation and forecasting in dyadic interactions between users and Spot, the quadruped robot manufactured by Boston Dynamics. The key-novelty of HARPER is its focus on the robot’s perspective, i.e., on the data captured by the robot’s sensors. T…

Cited by 3SourceScholar
2022

Pose Forecasting in Industrial Human-Robot Collaboration

ECCV 2022poster

"Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For the first time, SeS-GCN bottlenecks the interaction of the spatial, temporal and channel-wise dimensions in GCNs, and it l…