Papers
9
Total Citations
77
H-Index
5
About
Marco Maccarini is a leading researcher at the forefront of human-centric robotics, with a focus on physical Human-Robot Interaction (pHRI), collaborative control, and robotic manipulation. His work is central to the fifth industrial revolution, where he designs frameworks that place humans at the center of production environments, enabling them to supervise rather than perform heavy or repetitive tasks. Maccarini’s major contributions include developing optimal collaborative controllers with user-centric tuning, such as his 2023 paper on a human-centric framework for robotic task learning (23 citations), and pioneering preference-based optimization methods that allow non-expert users to intuitively improve robot performance (15 citations). He has also advanced grasping learning and knowledge transfer in service robotics (9 citations), and his recent work on FLARE (2025) explores fine-tuned large language models for resource-efficient action generation, addressing complex manipulation challenges. With over 77 total citations and a growing portfolio, Maccarini’s research is shaping safer, more intuitive human-robot collaboration. His notable achievements include contributions to the STEPbySTEP project, which aims to standardize benchmarking for exoskeleton devices, and his ongoing efforts to integrate AI and low-cost vision systems for robust robotic grasping.
Research Focus
Key Achievements
Top Papers
- 1A human-centric framework for robotic task learning and optimization23 citations · 2023
- 2
- 3Preference-Based Optimization of a Human-Robot Collaborative Controller15 citations · 2022
- 4
- 5Human Preferences' Optimization in pHRI Collaborative Tasks6 citations · 2023
- 6
- 7Multi-Objects Robotic Grasping Optimization Employing a 2D camera1 citations · 2022
- 8
- 9