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Reformulation of the Integrated Master in Mechanical Engineering (MIEM) at FEUP in Two Cycles of Studies (Bachelor and Master)
2021
U Porto Journal of Engineering
A SWOT analysis performed both for the bachelor and the master shows the potential of the two new cycles of studies. ...
It is clearly distinct from the cycles of studies thought at the polytechnic institutions, providing a broader scientific background, and not including design skills and dissertation. ...
optimization methods, and visualization methods. ...
doi:10.24840/2183-6493_007.001_0007
fatcat:mag3jetqhva6ln5dkfykmn5vym
Optimisation of synthesis, purification and reformulation of (R)-[N-Methyl-11C]PK11195 for in vivo PET imaging studies
2013
2013 IEEE 3rd Portuguese Meeting in Bioengineering (ENBENG)
In this work we report on the optimisation of the synthesis, purification and reformulation of (R)- [N-methyl-11 C]PK11195 by the captive solvent method with the aim of being used for in vivo PET imaging ...
studies. ...
optimise the synthesis, purification and reformulation of (R)-[ 11 C]PK11195 using the captive solvent method and make its available on a ready-to-inject sterile saline solution for PET imaging studies ...
doi:10.1109/enbeng.2013.6518428
fatcat:cw3nxf5b35cdxhmkvunkwdneii
Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop
[article]
2018
arXiv
pre-print
In this paper, we propose a novel method for underwater robot-to-human communication using the motion of the robot as "body language". ...
To evaluate this system, we develop simulated examples of the system's body language gestures, called kinemes, and compare them to a baseline system using flashing colored lights through a user study. ...
for his advice; The Mobile Robotics Lab at McGill University, Independent Robotics, and particularly Ian Karp for the use of their Unreal Engine robot model. ...
arXiv:1809.07948v1
fatcat:xicy7if2srcf3a75aupa552lzi
A Hybrid Compositional Reasoning Approach for Interactive Robot Manipulation
[article]
2023
arXiv
pre-print
Finally, we integrate our method with a robot framework and demonstrate how it can serve as an interpretable solution for an interactive object picking task, both in simulation and with a real robot. ...
benefits of discrete symbolic approaches with the scalability and representational power of deep networks. ...
Results demonstrate that our method is highly accurate Fig. 4 : A sequence of snapshots capturing the setup of our robot framework in Gazebo (top) and in a real-world environment (bottom). ...
arXiv:2210.00858v2
fatcat:dibkls6nr5fnfd63h3ulvgr5dy
Human-Robot Role Arbitration with Cooperative Game Theory
2022
Zenodo
This work studies the role-arbitration between a robot and a human during physical Human-Robot Interaction. ...
A reformulation of the problem as a Cooperative Differential Game allows addressing the bargaining problem by proposing a solution depending on the human interaction force, interpreted as the will to lead ...
INTRODUCTION With the large spread of collaborative robots, collaborative applications involving a human operator and a robot working together to achieve a common goal represents the industry's most recent ...
doi:10.5281/zenodo.7531368
fatcat:xmwyu56rdrbntpq7moibzbsyna
Formulating User Requirements for Designing Collaborative Robots
2019
Zenodo
The results presented in this paper consist of the list of user requirements, which will serve as a basis in establishing scenarios and system requirements for the later design of a Human-Robot Collaboration ...
This paper is concerned with a methodology for gathering user requirements (URs) to inform a later design process of industrial collaborative robots. ...
A combination of qualitative and quantitative methods earlier discussed in [7] can result in a variety of methodologies. In this study, a specific combination of the two is used. ...
doi:10.5281/zenodo.3666189
fatcat:nfj6hrwp7rgi5pfwsq5cgdpqkq
IEEE Robotics & Automation Society
2011
IEEE robotics & automation magazine
Thomas Parisini is a Fellow of the IEEE. Plenary Session Title: Robust Adaptive Control: Interpretations, Expectations and Reality By Petros A. ...
The output of the algorithm can be interpreted as the filtered inverse of the Jacobian matrix. A case study of a 3-DoF non-redundant manipulator is presented. ...
doi:10.1109/mra.2011.943480
fatcat:d2wvloyv6jcbzp2yathd52mx2u
[IEEE Robotics & Automation Society]
2012
IEEE robotics & automation magazine
Thomas Parisini is a Fellow of the IEEE. Plenary Session Title: Robust Adaptive Control: Interpretations, Expectations and Reality By Petros A. ...
The output of the algorithm can be interpreted as the filtered inverse of the Jacobian matrix. A case study of a 3-DoF non-redundant manipulator is presented. ...
doi:10.1109/mra.2012.2229854
fatcat:rjrxtwk4jbcgjpvjdad6mougsq
IEEE Robotics & Automation Society
2012
IEEE robotics & automation magazine
Thomas Parisini is a Fellow of the IEEE. Plenary Session Title: Robust Adaptive Control: Interpretations, Expectations and Reality By Petros A. ...
The output of the algorithm can be interpreted as the filtered inverse of the Jacobian matrix. A case study of a 3-DoF non-redundant manipulator is presented. ...
doi:10.1109/mra.2012.2230568
fatcat:33actbknxrel3jnag2kx7cncem
IEEE Robotics & Automation Society
2011
IEEE robotics & automation magazine
Thomas Parisini is a Fellow of the IEEE. Plenary Session Title: Robust Adaptive Control: Interpretations, Expectations and Reality By Petros A. ...
The output of the algorithm can be interpreted as the filtered inverse of the Jacobian matrix. A case study of a 3-DoF non-redundant manipulator is presented. ...
doi:10.1109/mra.2011.941112
fatcat:owvu2behc5hulpcae2dp5myigm
Embodied Evolution in Collective Robotics: A Review
2018
Frontiers in Robotics and AI
It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. ...
This article concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research. ...
The cycle operates as follows: each robot is associated with an active genome, and the genome is interpreted into a set of features and control architecture (the phenotype), which produces a behavior that ...
doi:10.3389/frobt.2018.00012
pmid:33500899
pmcid:PMC7806005
fatcat:zfhv4uiquneivlgij2jio7gzvq
Distribution and Recognition of Gestures in Human-Robot Interaction
2006
ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication
The user studies analyze several aspects: the distribution of gestures, relations, and characteristics of these gestures, and the acceptability of different gesture types in a human-robot teaching scenario ...
This paper presents an approach for human activity recognition focusing on gestures in a teaching scenario, together with the setup and results of user studies on human gestures exhibited in unconstrained ...
Two streams of research are being pursued in complementary manner: (a) the technological development of a classification and interpretation system for human gestures and activities, and (b) user studies ...
doi:10.1109/roman.2006.314402
dblp:conf/ro-man/OteroKNSDD06
fatcat:vqlkrnyhgrhvlhta2dib3h4rra
Nonlinear Model Predictive Control for Mobile Robot Using Varying-Parameter Convergent Differential Neural Network
2019
Robotics
The mobile robot kinematic model is a nonlinear affine system, which is constrained by velocity and acceleration limits. ...
In the simulation, we verify that the proposed method is able to successfully track reference trajectories with a two-wheel mobile robot. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/robotics8030064
fatcat:qrpt6y2etbdwlem6vnfuui4f2a
Fairness and Bias in Robot Learning
[article]
2022
arXiv
pre-print
Machine learning has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real world. ...
We propose a taxonomy for sources of bias and the resulting types of discrimination due to them. ...
ACKNOWLEDGEMENTS This work was funded by the Carl Zeiss Foundation under the ReScaLe project and a scholarship from the Graduate School of Robotics of the University Freiburg (according to the Graduate ...
arXiv:2207.03444v1
fatcat:qaezec6sujbtzceionczbqjify
From Humans and Back: a Survey on Using Machine Learning to both Socially Perceive Humans and Explain to Them Robot Behaviours
2020
Current Robotics Reports
Purpose of Review As intelligent robots enter our daily routine, it is important to be equipped with proper adaptable social perception and explainable behaviours. ...
This paper intends to find a trend in the way ML methods are used and applied to model human social perception and produce explainable robot behaviours. ...
Conclusion The studies published since 2014 revealed that a large amount of research was done in the studies of social assistive robots and collaborative robots involving SP and EB based on ML methods. ...
doi:10.1007/s43154-020-00013-6
fatcat:l5dneve33faolgvlvf3ddqkv24
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