Analyzing Object Weight for Enhanced Robotic Handover: The YCB-Handovers Dataset
Research#Robotics🔬 Research|Analyzed: Jan 10, 2026 07:52•
Published: Dec 23, 2025 23:50
•1 min read
•ArXivAnalysis
This research addresses a critical aspect of human-robot collaboration by focusing on the influence of object weight during handovers. The development and analysis of the YCB-Handovers dataset offers valuable insights into improving robotic handover strategies.
Key Takeaways
- •The study leverages the YCB-Handovers dataset, likely containing data on human handovers with varying object weights.
- •The research aims to enhance robotic handover capabilities by understanding how humans adapt to different object weights.
- •This work contributes to more natural and effective human-robot interaction in tasks involving object transfer.
Reference / Citation
View Original"Analyzing Object Weight Impact on Human Handovers to Adapt Robotic Handover Motion."