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Alexandre Bernardino

21 accepted papers

2024

Non-Verbal Cues on Robot-Group Persuasion

ICRA 2024poster

When integrating robots into human daily life, persuasive power can be essential. However, there are often group dynamics which can complicate persuasion. This study focuses on how non-verbal cues, specifically gaze and hand gestures, affect the persuasiveness of a social robot. We have designed a p…

Cited by 0SourceScholar
2024

Physics-Informed Neural Network for Multirotor Slung Load Systems Modeling

ICRA 2024poster

Recent advances in aerial robotics have enabled the use of multirotor vehicles for autonomous payload transportation. Resorting only to classical methods to reliably model a quadrotor carrying a cable-slung load poses significant challenges. On the other hand, purely data-driven learning methods do…

Cited by 0SourcecodeScholar
2023

3DSGrasp: 3D Shape-Completion for Robotic Grasp

ICRA 2023poster

Real-world robotic grasping can be done robustly if a complete 3D Point Cloud Data (PCD) of an object is available. However, in practice, PCDs are often incomplete when objects are viewed from few and sparse viewpoints before the grasping action, leading to the generation of wrong or inaccurate gras…

Cited by 26SourcecodeScholar
2023

Learning Open-Loop Saccadic Control of a 3D Biomimetic Eye Using the Actor-Critic Algorithm

IROS 2023poster

The application of reinforcement learning algorithms to robotics has increased over the last decade, especially for the control of robots with non-linear dynamics and a redundant number of degrees of freedom using classic control techniques. Here we study the control of a biomimetic robotic eye with…

Cited by 0SourceScholar
2021

Human-Robot greeting: tracking human greeting mental states and acting accordingly

IROS 2021poster

Mobile social robots should be able to engage in interaction with people effectively. However, greeting someone is a complex task since it implies an exchange of social signals. Adam Kendon modeled human greetings as a set of six phases: initiation of approach, distance salutation, head dip, approac…

Cited by 6SourceScholar
2020

A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras

RA-L 2020

The computational load associated with computer vision is often prohibitive, and limits the capacity for on-board image analysis in compact mobile robots. Replicating the kind of feature detection and neural processing that animals excel at remains a challenge in most biomimetic aquatic robots. Even

Cited by 12SourceScholar
2020

Fruit quality control by surface analysis using a bio-inspired soft tactile sensor

IROS 2020poster

The growing consumer demand for large volumes of high quality fruit has generated an increasing need for auto-mated fruit quality control during production. Optical methods have been proved successful in a few cases, but with limitations related to the variability of fruit colors and lighting condit…

Cited by 27SourceScholar
2020

Highly sensitive bio-inspired sensor for fine surface exploration and characterization

ICRA 2020poster

Texture sensing is one of the types of information sensed by humans through touch, and is thus of interest to robotics that this type of information can be acquired and processed. In this work we present a texture topography sensor based on a ciliary structure, a biological structure found in many o…

Cited by 17SourceScholar
2019

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

RA-L 2019

Self-reconfiguration is a hard problem due to the high dimensionality of self-reconfigurable modular systems. Searchbased approaches offer complete and optimal solutions. However, naive search algorithms cannot directly solve self-reconfiguration tasks in reasonable time. In this letter, a transitio

Cited by 18SourceScholar
2019

The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures

IROS 2019poster

Recent advances in deep learning–based object detection techniques have revolutionized their applicability in several fields. However, since these methods rely on unwieldy and large amounts of data, a common practice is to download models pre-trained on standard datasets and fine-tune them for speci…

Cited by 32SourceScholar
2018

Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty

IROS 2018poster

Robust grasping is a major, and still unsolved, problem in robotics. Information about the 3D shape of an object can be obtained either from prior knowledge (e.g., accurate models of known objects or approximate models of familiar objects) or real-time sensing (e.g., partial point clouds of unknown…

Cited by 18SourceScholar
2018

Playdough to Roombots: Towards a Novel Tangible User Interface for Self-reconfigurable Modular Robots

ICRA 2018poster

One of the main strengths of self-reconfigurable modular robots (SRMR) is their ability to shape-shift and dynamically change their morphology. In the case of our SRMR system “Roombots”, these shapes can be quite arbitrary for a great variety of tasks while the major utility is envisioned to be self…

Cited by 1SourceScholar
2018

The Power of a Hand-shake in Human-Robot Interactions

IROS 2018poster

In this paper, we study the influence of a handshake in the human emotional bond to a robot. In particular, we evaluate the human willingness to help a robot whether the robot first introduces itself to the human with or without a handshake. In the tested paradigm the robot and the human have to per…

Cited by 37SourceScholar
2017

Bioinspired Ciliary Force Sensor for Robotic Platforms

RA-L 2017

The detection of small forces is of great interest in any robotic application that involves interaction with the environment (e.g., objects manipulation, physical human-robot interaction, minimally invasive surgery), since it allows the robot to detect the contacts early on and to act accordingly. I

Cited by 40SourceScholar
2017

Low-cost 3-axis soft tactile sensors for the human-friendly robot Vizzy

ICRA 2017poster

In this paper we present a low-cost and easy to fabricate 3-axis tactile sensor based on magnetic technology. The sensor consists in a small magnet immersed in a silicone body with an Hall-effect sensor placed below to detect changes in the magnetic field caused by displacements of the magnet, gener…

Cited by 102SourceScholar
2017

Towards markerless visual servoing of grasping tasks for humanoid robots

ICRA 2017poster

Vision-based grasping for humanoid robots is a challenging problem due to a multitude of factors. First, humanoid robots use an “eye-to-hand” kinematics configuration that, on the contrary to the more common “eye-in-hand” configuration, demands a precise estimate of the position of the robot's hand.…

Cited by 25SourceScholar
2016

Benchmarking the Grasping Capabilities of the iCub Hand With the YCB Object and Model Set

RA-L 2016

The letter reports an evaluation of the iCub grasping capabilities, performed using the YCB Object and Model Set. The goal is to understand what kind of objects the iCub dexterous hand can grasp, and with what degree of robustness and flexibility, given the best possible control strategy. Therefore,

Cited by 17SourceScholar
2016

From human instructions to robot actions: Formulation of goals, affordances and probabilistic planning

ICRA 2016

This paper addresses the problem of having a robot executing motor tasks requested by a human through spoken language. Verbal instructions do not typically have a one-to-one mapping to robot actions, due to various reasons: economy of spoken language, e.g., one short instruction might indeed corresp

Cited by 45SourceScholar
2016

Unscented Bayesian optimization for safe robot grasping

IROS 2016poster

Safe and robust grasping of unknown objects is a major challenge in robotics, which has no general solution yet. A promising approach relies on haptic exploration, where active optimization strategies can be employed to reduce the number of exploration trials. One critical problem is that certain op…

Cited by 96SourceScholar
2015

A novel approach to dynamic movement imitation based on quadratic programming

ICRA 2015poster

This paper proposes a novel approach to generate trajectories that generalize given demonstrations according to optimality criteria. By formulating the problem as a quadratic program we can efficiently incorporate constraints to adapt to new desired motion requirements while achieving the main goal…

Cited by 9SourceScholar
2015

Low-rank forward models: A path to the self-organization of visuo-motor systems

IROS 2015poster

Sensorimotor coupling is ubiquitous in living organisms. Sensory and motor systems are utterly useless if left without the presence of the other. One crucial faculty that organisms have developed with tremendous ecological advantages is the ability to discern between the origins of perceptual input…

Cited by 0SourceScholar