activity
20222024
most citedDesign, Development, and Evaluation of an Interactive Personalized Social Robot to Monitor and Coach Post-Stroke Rehabilitation Exercises

41 citations · 67 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Semantic-Based Active Perception for Humanoid Visual Tasks with Foveal Sensors

João Luzio, Alexandre Bernardino, Plinio Moreno

The aim of this work is to establish how accurately a recent semantic-based foveal active perception model is able to complete visual tasks that are regularly performed by humans,…

cs.RO2024

Pose-free object classification from surface contact features in sequences of Robotic grasps

Teresa Alves, Alexandre Bernardino, Plinio Moreno

In this work, we propose two cost efficient methods for object identification, using a multi-fingered robotic hand equipped with proprioceptive sensing. Both methods are trained on…

cs.RO202413 cited

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

Joao Castanheira, Pedro Vicente, Ruben Martinez-Cantin +2

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…

cs.RO202411 cited

Gaussian Mixture Models for Affordance Learning using Bayesian Networks

Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin +1

Affordances are fundamental descriptors of relationships between actions, objects and effects. They provide the means whereby a robot can predict effects, recognize actions, select…

cs.RO202341 cited

Design, Development, and Evaluation of an Interactive Personalized Social Robot to Monitor and Coach Post-Stroke Rehabilitation Exercises

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2

Socially assistive robots are increasingly being explored to improve the engagement of older adults and people with disability in health and well-being-related exercises. However,…

cs.CV20232 cited

Multimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification

Ashwin Prakash, Thejaswin S, Athira Nambiar +1

Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recognition a…