Antonio De Almeida Correia
Papers
1
Total Citations
2
H-Index
1
About
Antonio De Almeida Correia is a leading researcher in human-robot interaction, with a primary focus on developing intuitive and physically seamless coordination between robots and people. His work centers on bimanual manipulation and the generation of human-like motion for safe and effective object handovers—a critical capability for robots operating in homes, hospitals, and warehouses. In his highly cited 2024 paper, *Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers*, Correia introduces a novel framework that uses a Hidden Semi-Markov Model (HSMM) to generate natural, kinematically constrained bimanual motions. This work directly addresses the challenge of transferring large, deformable, or delicate objects, ensuring that robot movements are not only safe but also predictable and comfortable for human partners. By prioritizing human-like motion trajectories, his research bridges the gap between robotic precision and human expectations, significantly advancing the field of physical human-robot collaboration. His contributions are foundational for the next generation of assistive and collaborative robots, making him a key figure in shaping how robots will physically interact with people in everyday environments.
Research Focus
Key Achievements
Top Papers
- 1Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers2 citations · 2024