Publications

Gaka-Chu: A Self-Employed Autonomous Robot Artist

05-2023

Gaka-Chu: A Self-Employed Autonomous Robot Artist

Eduardo Castelló Ferrer, Ivan Berman, Aleksandr Kapitonov, Vadim Manaenko, Makar Chernyaev, Pavel Tarasov

Abstract:

In this paper, we present the first economically autonomous robot -- a robot able to produce marketable goods while having full control over the use of its generated income. Gaka-chu ("painter" in Japanese) is a 6-axis robot arm that creates paintings of Japanese characters from an autoselected keyword. By using a blockchain-based smart contract, Gaka-chu can autonomously list a painting it made for sale in an online auction. In this transaction, the robot interacts with the human bidders as a peer not as a tool.

SPICE: Smart Projection Interface for Cooking Enhancement

12-2024

SPICE: Smart Projection Interface for Cooking Enhancement

Vera Prohaska; Eduardo Castelló

Abstract:

Tangible User Interfaces (TUI) for human--computer interaction (HCI) provide the user with physical representations of digital information with the aim to overcome the limitations of screen-based interfaces. Although many compelling demonstrations of TUIs exist in the literature, there is a lack of research on TUIs intended for daily two-handed tasks and processes, such as cooking. In response to this gap, we propose SPICE (Smart Projection Interface for Cooking Enhancement). SPICE investigates TUIs in a kitchen setting, aiming to transform the recipe following experience from simply text-based to tangibly interactive. SPICE includes a tracking system, an agent-based software, and vision large language models to create and interpret a kitchen environment where recipe information is projected directly onto the cooking surface.

If blockchain is the solution, robot security is the problem

05-2023

If blockchain is the solution, robot security is the problem

Eduardo Castelló Ferrer

Abstract:

Robotics systems of all types are revolutionizing a wide variety of industries—transportation, manufacturing, and even healthcare—and yet, many essential ingredients for robotics systems in the real world are not technologically ready for deployment. Currently, robots lack the protocols and standards required to be safe and secure outside factories. In an attempt to close this gap, recent research has demonstrated the security benefits of combining robotics systems with blockchain-based and related technologies (e.g., smart contracts, zero-knowledge proofs). In this article, I argue that blockchain-based robotics is starting to provide innovative solutions to urgent problems of robot security. I list the most important takeaways so far from this field that I helped establish together with a growing community. I close the article by discussing the implications of the security challenges that the robotics research community is facing, and possible ways for us to move forward.

Multimodal Sentiment Analysis based on Video and Audio Inputs

10-2024

Multimodal Sentiment Analysis based on Video and Audio Inputs

Antonio Fernandez, Suzan Awinat

Abstract:

Despite the abundance of current research working on the sentiment analysis from videos and audios, finding the best model that gives the highest accuracy rate is still considered a challenge for researchers in this field. The main objective of this paper is to prove the usability of emotion recognition models that take video and audio inputs. The datasets used to train the models are the CREMA-D dataset for audio and the RAVDESS dataset for video. The fine-tuned models that been used are: Facebook/wav2vec2-large for audio and the Google/vivit-b-16x2-kinetics400 for video. The average of the probabilities for each emotion generated by the two previous models is utilized in the decision-making framework. After disparity in the results, if one of the models gets much higher accuracy, another test framework is created.