Imperial College London

Dr Nicolas Rojas

Faculty of EngineeringDyson School of Design Engineering

Lecturer
 
 
 
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Contact

 

n.rojas

 
 
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Location

 

Dyson BuildingSouth Kensington Campus

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Summary

 

Summary

Dr Nicolas Rojas is the Director of the Robotic manipulation: Engineering, Design, and Science Laboratory (REDS Lab) and a Lecturer (Assistant Professor) in the Dyson School of Design Engineering at Imperial College London. His research focuses on the analysis, design, control, and implementation of robotic systems for manipulation and grasping under diversity and uncertainty, with the long-term goal of surpassing the manipulation capabilities observed in humans and other animals in all conditions.

Before joining Imperial, Dr Rojas was a Lecturer (Assistant Professor) in Mechatronics in the Department of Engineering and Design at the University of Sussex, a Postdoctoral Associate in the GRAB Lab, Department of Mechanical Engineering and Materials Science at Yale University, and a Postdoctoral Research Fellow in the SUTD-MIT International Design Centre at the Singapore University of Technology and Design. He has also experience in the industrial sector as Business Development Manager, Branch Manager, and Project Engineer in industrial automation companies. 

Dr Rojas earned his undergraduate degree in Electronics Engineering at Javeriana University and his master’s degree in Industrial Engineering at the University of Los Andes. He obtained his PhD in Robotics with the Institute of Robotics and Industrial Informatics at the Polytechnic University of Catalonia.

Selected Publications

Journal Articles

Li K, Baron N, Zhang X, et al., 2022, EfficientGrasp: a unified data-efficient learning to grasp method for multi-fingered robot hands, Ieee Robotics and Automation Letters, ISSN:2377-3766, Pages:1-8

Chappell D, Son HW, Clark AB, et al., 2022, Virtual reality pre-prosthetic hand training with physics simulation and robotic force interaction, Ieee Robotics and Automation Letters, Vol:7, ISSN:2377-3766, Pages:1-1

Ranne A, Clark AB, Rojas N, 2022, Augmented reality-assisted reconfiguration and workspace visualization of malleable robots: workspace modification through holographic guidance, IEEE Robotics & Automation Magazine, Vol:29, ISSN:1070-9932, Pages:2-13

Lu Q, Baron N, Clark AB, et al., 2021, Systematic object-invariant in-hand manipulation via reconfigurable underactuatuation: introducing the RUTH gripper, International Journal of Robotics Research, Vol:40, ISSN:0278-3649, Pages:1402-1418

He L, Lu Q, Abad S-A, et al., 2020, Soft fingertips with tactile sensing and active deformation for robust grasping of delicate objects, Ieee Robotics and Automation Letters, Vol:5, ISSN:2377-3766, Pages:2714-2721

Lu Q, Clark A, Shen M, et al., 2020, An origami-inspired variable friction surface for increasing the dexterity of robotic grippers, Ieee Robotics and Automation Letters, Vol:5, ISSN:2377-3766, Pages:2538-2545

Liow L, Clark A, Rojas N, 2020, OLYMPIC: a modular, tendon-driven prosthetic hand with novel finger and wrist coupling mechanisms, Ieee Robotics and Automation Letters, Vol:5, ISSN:2377-3766, Pages:299-306

Lu Q, Rojas N, 2019, On soft fingertips for in-hand manipulation: modelling and implications for robot hand design, Ieee Robotics and Automation Letters, Vol:4, ISSN:2377-3766, Pages:2471-2478

Clark A, Rojas N, 2019, Assessing the performance of variable stiffness continuum structures of large diameter, Ieee Robotics and Automation Letters, Vol:4, ISSN:2377-3766, Pages:2455-2462

Rojas N, Ma RR, Dollar AM, 2016, The GR2 gripper: an underactuated hand for open-loop in-hand planar manipulation, IEEE Transactions on Robotics, Vol:32, ISSN:1552-3098, Pages:763-770

Conference

Wang X, Rojas N, A data-efficient model-based learning framework for the closed-loop control of continuum robots, IEEE International Conference on Soft Robotics

Yang Z, Clark A, Chappell D, et al., Instinctive real-time sEMG-based control of prosthetic hand with reduced data acquisition and embedded deep learning training, IEEE International Conference on Robotics and Automation

Lu Q, Baron N, Bai G, et al., 2021, Mechanical intelligence for adaptive precision grasp, IEEE International Conference on Robotics and Automation (ICRA) 2021, IEEE, Pages:4530-4536

Lu Q, Wang J, Zhang Z, et al., 2021, An underactuated gripper based on car differentials for self-adaptive grasping with passive disturbance rejection, IEEE International Conference on Robotics and Automation (ICRA) 2021, IEEE, Pages:2605-2611

Clark A, Rojas N, 2020, Design and workspace characterisation of malleable robots, IEEE International Conference on Robotics and Automation, IEEE, Pages:9021-9027

Lu Q, Baron N, Clark A, et al., 2020, The RUTH Gripper: systematic object-invariant prehensile in-hand manipulation via reconfigurable underactuation, Robotics: Science and Systems, RSS

Lu Q, Liang H, Nanayakkara DPT, et al., 2020, Precise in-hand manipulation of soft objects using soft fingertips with tactile sensing and active deformation, IEEE International Conference on Soft Robotics, IEEE, Pages:52-57

Clark AB, Rojas N, 2019, Stiffness-tuneable limb segment with flexible spine for malleable robots, 2019 International Conference on Robotics and Automation (ICRA), IEEE, Pages:3969-3975, ISSN:2577-087X

Bai G, Rojas N, 2019, Self-adaptive monolithic anthropomorphic finger with teeth-guided compliant cross-four-bar joints for underactuated hands, 2018 IEEE-RAS International Conference on Humanoid Robots (Humanoids), IEEE

Bircher WG, Dollar AM, Rojas N, 2017, A two-fingered robot gripper with large object reorientation range, 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE

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