Ph. D. candidates

• Dimitrios Dimou. Conditional Postural Synergies for Dexterous Grasps Using Variational Autoencoders. Co-supervisor: José Santos-Victor.
• Rodrigo Vieira. Action Anticipation from EEG Signal for Human-Robot Interaction. Co-supervisor: Athanasios Vourvopoulos.
• João Luzio. Active Visual Perception in Humanoid Robotics. Co-supervisor: Alexandre Bernardino.
• Wafae Lasri. Veggie Breizh Bot: Assistive robot for cooking. Dissertation in cotutelle with IMT (Brest, France). Co-supervisor: Mihai Andries.
• Amani Arioui. Summarization of activities of daily living using sound-based activity recognition. Dissertation in cotutelle with IMT (Brest, France). Co-supervisor: Mihai Andries.

Master Theses

• António Matilde Dinis (Dec. 2024). Geração e avaliação de pegas bimanuais com mãos robóticas humanóides.
• Tiago Alexandre Oliveira Almeida (Dec. 2024). Prediction of 30-day hospital readmission with clinical notes and EHR information.
• Gonçalo Cachinho Matias da Silva Matos (Dec. 2024). Active Visual Object Search for Mobile Robots.
• Ana Rita David Brás (Nov. 2024). Grasp unknown fresco pieces with soft-hands.
• Ricardo Alexandre Ramos Rodrigues (Nov. 2024). Effectiveness of a Humorous Robot in Reducing Anxiety in Clinical Procedures.
• Diogo Filipe Baptista da Silva (Nov. 2024). Real-Time Control of Dexterous Robot Hands with Tactile and Force Sensors.
• Ricardo Reis Pedreiras Cardoso (Nov. 2024). Vision-Based Mass Estimation Using RGBD Data and Synthetic Depth for Robotic Applications.
• Alexandre Filipe Gonçalves Lopes (Nov. 2024). Model-Based Lookahead Reinforcement Learning for in-hand manipulation.
• Madalena Pombinho Caeiro Caldeira (Jun. 2024). Next Best View for Object Model Acquisition. Presented at IRC 2024.
• Gabriel Duarte Marques (Jun. 2024). Impact of Free-Viewing Search on Transformer-Based Goal-Directed Search. Presented at ROBOT 2024.
• Natan de Barros Viana (May 2024). InfoHealth: Um Aplicativo para utilização da Coleta Ativa de Dados no âmbito da mHealth.
• Nuno Miguel Caldeira Miguéns Diogo (May 2024). Active Health Data Collection Using Social Robot. Presented at ROBOT 2024.
• Vanilson Talma Neves Fula (Mar. 2024). Wrist-based fall detection: towards generalization across datasets. Published at Sensors Journal (2024).
• Rodrigo Miguel Costa da Silva Vieira (Nov. 2023). Action Anticipation From Electroencephalography Signals For Human-Robot Interaction. Presented at ICRA40 and published at Frontiers NeuroRobotics.
• Jorge Miguel Costa Telo (Nov. 2023). Trajectories in Hand Synergy Spaces for in-hand manipulation. Presented at ICARSC 2024.
• Daniel Nobre Chagas (Nov. 2023). Combining Active Learning with Neural Networks for Robot Self-Calibration.
• Francisco Mansilha Pena Galante (Nov. 2023). Active Robot Perception: Visual Object Search using Fisheye Vision.
• João Miguel Barradas Luzio (Nov. 2023). Semantic-Based Active Perception for Humanoid Visual Tasks.
• Alexandra Esperança Gonçalves (Jun. 2023). Non-Verbal Cues on Robot-Group Persuasion. Presented at ICRA 2024
• Francisco Rabaça Moller Freiria (Jun. 2023). Kidney segmentation in MRI images using deep learning: A comparison between U-NET and Attention U-NET.
• Bernardo Alves Rocha (Jun. 2023). Cross-view Generalisation in Action Recognition: Feature Design for Transitioning from Exocentric to Egocentric Views. Presented at ROBOT 2023
• Ricarte Alexandre Lima Pereira de Sousa Ribeiro (Jun. 2023). Socially reactive navigation models for mobile robots in dynamic environments. Presented at ROBOT 2023
• Beatriz De Andrade Milheiro Ribeiro Paula (Nov. 2022). Learning to search for and detect objects in foveal images using deep learning. Presented at IbPria 2023.
• João José Tacanho Marques (Nov. 2022). On-line fall detection using wrist devices. Published at Sensors Journal (2023)
• Ricardo Andrade Antão (Sept. 2022). Eye-to-Eye: Gaze detection as a proxy for medical doctor behavior during appointments. Presented at 1o Congresso de Investigação do Grupo Luz Saúde.
• João Martinho Lopes Andrade (Jun. 2022). Estimation of physical properties of objects using vision. Presented a ICARSC 2023.
• Ana Rita Caldeira Pagaimo (Jun. 2022). Exploring Tactile Sensing to perfom the power grasp of a human-robot handshake. Presented at ICARSC 2023.
• Beatriz Pereira Horta Cabarrão (Jun. 2022). Learning to search for objects in foveal images using deep Learning.
• João Maria Da Silveira Machado Chumbinho (Jun. 2022)
• Martim Freire Pereira (Apr. 2022). In-Hand Manipulation of Unseen Objects Through 3D Vision. Presented at ROBOT2022.
• João Balão (Dec. 2021). Benchmarking shape completion methods for robotic grasping. Presented at ICDL-Epirob 2022.
• Ana Rita Bamansá Siles Machado (Dec. 2021). Active Data Collection of Health Data in Mobile Devices. Presented at DELTA 2022.
• Fernando António Azinheira de Ramos Loureiro (Dec. 2021). Detecting Interaction Failures through Emotional Feedback and Robot Context. Presented at ICSR 2022.
• Carlos Miguel Antunes Simões (Dec. 2021). 3D Estimation of Visual Focus of Attention. Presented at ICARSC 2022.
• Mariana Fidalgo Fernandes (Dec. 2021). Open-domain Conversational Agent based on Pre-Trained Transformers for Human-Robot Interaction. Presented at DELTA 2021.
• David Alexandre Castanheira Ribeiro (Oct. 2021). Hybrid force/position grasp control for underactuated hands in physics engine simulation.
• Maria Carolina Varandas Roque (Jan. 2021). Treinador autónomo e motivacional de apoio a idosos em jogos de exercício físico.
• Teresa Massano Cerqueira Alves (Jan. 2021). Grasp-based Object Identification. Available at Arxiv.
• Gonçalo Carvalho e Cunha (Jan. 2021). Active Robot Learning for Efficient Body Schema Online Adaptation. Presented at RECPAD 2020 and awarded as the Best Poster.
• Manuel Picão Fernandes Campos de Carvalho (Jan. 2021). Human-Robot greeting: A model based on social studies and Hidden Markov Models. Presented at IROS 2021.
• Alexandre Vieira Filipe (Jan. 2021). Learning to Grasp Objects in Virtual Environments through Imitation. Presented at RECPAD 2020.
• Francisco Raposo de Melo (Jan. 2021). Socially reactive navigation models for mobile robots. Presented at ICARSC 2022.
• Manuel Serra Nunes (Oct. 2020). Action-conditioned disentanglement of agent and objects for video prediction in robotic tasks. Presented at ICRA 2020, awarded as the best thesis in Robotics in 2021 by the Robotics Society of Portugal.
• Carlos Henrique Olim Silva (Jun. 2020). My “grand-ChildBot” – Development of cues for elderly-robot interaction.
• Luís Miguel Abranches de Almeida (Dec. 2019). Potential Grasp Robustness for Underactuated Hands: New Heuristics and Uncertainty Considerations. Presented at ICARSC 2020 and published in the journal SN Applied Sciences.
• Rui Duarte Costa Livramento (Dec. 2019). Natural Data-driven Approaching Behaviors of Humanoid Mobile Robots for F-Formations. Presented at ICARSC 2020.
• João Henrique Pechirra de Carvalho Borrego (Nov. 2018). Mind the Gap! Bridging the Reality Gap in Visual Perception and Robotic Grasping with Domain Randomisation. Presented at IROS 2019.