Danilo Bruno

About

Danilo Bruno is a leading researcher in human-robot collaboration and surgical robotics, with a focus on developing adaptive control and skill-transfer algorithms for flexible, continuum manipulators. His work bridges the gap between biological inspiration and robotic implementation, particularly through biomimetic approaches that draw from octopus movements to design hyper-redundant systems. Bruno’s most-cited paper, “Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints” (90 citations), addresses critical challenges in physical human-robot interaction, including safety and control under contact. He has made significant contributions to skill transfer across dissimilar robots, as seen in his work on the STIFF-FLOP surgical robot, where he developed motion primitives that enable robots with different embodiments to learn from demonstrations. His research on learning by imitation and context-dependent rewards has advanced the field of robot programming by demonstration, allowing robots to extract underlying intents rather than simply mimicking actions. With over 200 total citations, Bruno’s work is foundational for developing flexible surgical robots that can autonomously adapt to complex, constrained environments, paving the way for safer and more intuitive human-robot cooperation.

Research Focus

Key Achievements

Top Papers

1. 1
   Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints

   90 citations · 2015
2. 2
   Human–robot skills transfer interfaces for a flexible surgical robot

   57 citations · 2014
3. 3
   Learning by imitation with the STIFF-FLOP surgical robot: a biomimetic approach inspired by octopus movements

   31 citations · 2014
4. 4
   Skills transfer across dissimilar robots by learning context-dependent rewards

   17 citations · 2013
5. 5
   Learning autonomous behaviours for the body of a flexible surgical robot

   16 citations · 2016
6. 6
   Learning adaptive movements from demonstration and self-guided exploration

   6 citations · 2014
7. 7
   Bayesian Nonparametric Multi-Optima Policy Search in Reinforcement Learning

   4 citations · 2013
8. 8
   Learning the Stiffness of a Continuous Soft Manipulator from Multiple Demonstrations

   4 citations · 2015
9. 9
   A Skill Transfer Approach for Continuum Robots - Imitation of Octopus Reaching Motion with the STIFF-FLOP Robot

   3 citations · 2014
10. 10
    Null space redundancy learning for a flexible surgical robot

    3 citations · 2014

Key Collaborators

Contact & Links