Joao Bimbo

Dr. Joao Bimbo

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2017 in Mechatronics
Verified
Journal Article
Closed access
SLShan Luo
Shan Luo
JBJoao Bimbo
Joao Bimbo
RDRavinder Dahiya
Ravinder Dahiya
HLHongbin Liu
Hongbin Liu

25 October 2017 in IEEE Robotics and Automation Letters
Verified
Journal Article
Closed access
FCFrancesco Chinello
Francesco Chinello
CPClaudio Pacchierotti
Claudio Pacchierotti
JBJoao Bimbo
Joao Bimbo
NTNikos G. Tsagarakis
Nikos G. Tsagarakis
DPDomenico Prattichizzo
Domenico Prattichizzo
We present a wearable skin stretch device for the forearm. It is composed of four cylindrical end effectors, evenly distributed around the user's forearm. They can generate independent skin stretch stimuli at the palmar, dorsal, ulnar, and radial sides of the arm. When the four end effectors rotate in the same direction, the wearable device provides cutaneous stimuli about a desired pronation/supination of the forearm. On the other hand, when two opposite end effectors rotate in different directions, the cutaneous device provides cutaneous stimuli about a desired translation of the forearm. To evaluate the effectiveness of our device in providing navigation information, we carried out two experiments of haptic navigation. In the first one, subjects were asked to translate and rotate the forearm toward a target position and orientation, respectively. In the second experiment, subjects were asked to control a 6-DoF robotic manipulator to grasp and lift a target object. Haptic feedback provided by our wearable device improved the performance of both experiments with respect to providing no haptic feedback. Moreover, it showed similar performance with respect to sensory substitution via visual feedback, without overloading the visual channel.

12 January 2016 in IEEE Robotics and Automation Letters
Verified
Journal Article
Closed access
JBJoao Bimbo
Joao Bimbo
SLShan Luo
Shan Luo
KAKaspar Althoefer
Kaspar Althoefer
HLHongbin Liu
Hongbin Liu
This letter presents a strategy to represent data from a tactile array sensor and match it to an object's geometric features. Using that representation, a method is presented to localise a grasped object within a robot hand. The method consists of computing the covariance matrix in the tactile sensors' pressure data and computing the eigenbasis from its principal axes. A global search is carried out to find a pose in which the object's local geometry in the vicinity of the contact is coherent with that basis, i.e., is aligned with the principal axes and has similar variances. This approach, which can be used as a measurement model for tactile sensors, is compared and outperforms methods using the distance between the tactile sensor elements and object surface.

1 September 2017
Verified
Conference Paper
Closed access
JBJoao Bimbo
Joao Bimbo
CPClaudio Pacchierotti
Claudio Pacchierotti
MAMarco Aggravi
Marco Aggravi
NTNikos Tsagarakis
Nikos Tsagarakis
DPDomenico Prattichizzo
Domenico Prattichizzo
Robotic teleoperation in cluttered environments is attracting increasing attention for its potential in hazardous scenarios, disaster response, and telemaintenance. Although haptic feedback has been proven effective in such applications, commercially-available grounded haptic interfaces still show significant limitations in terms of workspace, safety, transparency, and encumbrance. For this reason, we present a novel robotic teleoperation system with wearable haptic feedback for telemanipulation in cluttered environments. The slave system is composed of a soft robotic hand attached to a 6-axis force sensor, which is fixed to a 6-degrees-of-freedom robotic arm. The master system is composed of two wearable vibrotactile armbands and a Leap Motion. The armbands are worn on the upper arm and forearm, and convey information about collisions on the robotic arm and hand, respectively. The position of the manipulator and the grasping configuration of the robotic hand are controlled by the user's hand pose as tracked by the Leap Motion. To validate our approach, we carried out a human-subject telemanipulation experiment in a cluttered scenario. Twelve participants were asked to teleoperate the robot to grasp an object hidden between debris of various shapes and stiffnesses. Haptic feedback provided by our wearable devices significantly improved the performance of the considered telemanipulation tasks. All subjects but one preferred conditions with wearable haptic feedback.

21 January 2015 in Autonomous Robots
Verified
Journal Article
Closed access
PDF file
HLHongbin Liu
Hongbin Liu
KNKien Cuong Nguyen
Kien Cuong Nguyen
VPVéronique Perdereau
Véronique Perdereau
JBJoao Bimbo
Joao Bimbo
JBJunghwan Back
Junghwan Back
KAKaspar Althoefer
Kaspar Althoefer

17 November 2016 in Sensors
Verified
Journal Article
Open access
PDF file
YNYohan Noh
Yohan Noh
JBJoao Bimbo
Joao Bimbo
SSSina Sareh
Sina Sareh
HWHelge Wurdemann
Helge Wurdemann
JFJan Fraś
Jan Fraś
Kawal RhodeKawal Rhode
Kawal Rhode
This paper presents a multi-axis force/torque sensor based on simply-supported beam and optoelectronic technology. The sensor’s main advantages are: (1) Low power consumption; (2) low-level noise in comparison with conventional methods of force sensing (e.g., using strain gauges); (3) the ability to be embedded into different mechanical structures; (4) miniaturisation; (5) simple manufacture and customisation to fit a wide-range of robot systems; and (6) low-cost fabrication and assembly of sensor structure. For these reasons, the proposed multi-axis force/torque sensor can be used in a wide range of application areas including medical robotics, manufacturing, and areas involving human–robot interaction. This paper shows the application of our concept of a force/torque sensor to flexible continuum manipulators: A cylindrical MIS (Minimally Invasive Surgery) robot, and includes its design, fabrication, and evaluation tests.