Neural Control of Movement Laboratory

Book Chapters

1.            Piazza C, Catalano MG, Bianchi M, Ricciardi E, Prattichizzo D, Haddadin S, Luft AR, Lambercy O, Gassert R, Jakubowitz E, Van Der Kooij H, Tonis F, Bonomo F, de Jonge B, Ward T, Zhao KD, Santello M, Bicchi A (In press). The SoftPro Project: Synergy-based open-source technologies for prosthetics and rehabilitation. In: Wearable Robotics: Challenges and Trends. Springer Nature Switzerland AG.

2.            Santello M (2018). Dexterous manipulation: Understanding the continuum from hand kinematics to kinetics. In: Reach-to-grasp behavior. Brain, behavior, and modelling across the lifespan (Eds. Corbetta D, Santello M). Taylor and Francis Group.

3.            Fu Q, Santello M (2018). Sensorimotor learning of dexterous manipulation. In: Human Inspired Dexterity in Robotic Manipulation (Eds. Watanabe T, Harada K, Tada M). Academic Press, Elsevier.

4.            Fu Q, Santello M (2016). Dexterous manipulation: from high-level representation to low-level coordination of digit force and position. In: Human and Robot Hands – Sensorimotor Synergies to Bridge the Gap between Neuroscience and Robotics (Eds. Bianchi M., Moscatelli A.). Springer, pp. 9-27.

5.            Fu Q, Santello M (2016). Learning Interference in Dynamic Manipulation with Redundant Degrees of Freedom. In: Converging Clinical and Engineering Research in Neurorehabilitation II, Volume 15, Biosystems & Biorobotics (Eds: Ibáñez J, González-Vargas J, María Azorín J, Akay M, Pons J-L). Springer, pp. 457-461.

6.            Godfrey SB, Bianchi M, Zhao K, Catalano M, Breighner R, Theuer A, Andrews K, Grioli G, Santello M, Bicchi A (2016). The SoftHand Pro: Translation from Robotic Hand to Prosthetic Prototype. In:Converging Clinical and Engineering Research in Neurorehabilitation II, Volume 15, Biosystems & Biorobotics (Eds: Ibáñez J, González-Vargas J, María Azorín J, Akay M, Pons J-L). Springer, pp. 469-473.

7.            Santello M, Naceri A, Ernst MO (2016). Digit synergies in unconstrained hand grasping. In: Human and Robot Hands – Sensorimotor Synergies to Bridge the Gap between Neuroscience and Robotics (Eds. Bianchi M., Moscatelli A.). Springer, pp. 29-40.