Short description: This workshop explores generative AI's potential to enhance human-robot interactions, focusing on NLP, adaptive learning, multimodal AI, and ethical considerations.
Date: 05.11.2024 | 10.45 - 12.15
Location: Neptune room
Description:
This workshop aims to delve into the transformative potential of generative AI technologies in the realm of robotics. As robots become increasingly integral to various sectors, from healthcare to customer service, the need for advanced interaction capabilities grows. Generative AI offers promising solutions for enhancing these capabilities, enabling robots to engage more naturally and intelligently with humans.
Key discussion points will include the application of natural language processing (NLP) techniques to enable robots to understand and generate human language with greater accuracy and nuance. Additionally, we will explore adaptive learning mechanisms that allow robots to personalize interactions based on individual user behaviors and preferences. The workshop will also cover advancements in multimodal AI, which integrates visual, auditory, and textual data to create more holistic interaction experiences.
Participants will engage with ethical considerations surrounding the deployment of generative AI in interactive robots, addressing issues of privacy, consent, and the potential for bias. By bringing together experts from AI, robotics, and human-computer interaction fields, this workshop aims to foster interdisciplinary collaboration and innovation, paving the way for the next generation of intelligent, interactive robots that are both effective and ethically sound.
Organiser: Francesco Ferro - PAL Robotics
Speakers:
- Ricardo Simon Carbajo - CeADAR
- Nicolas Mansard - CNRS
- Aurélie Clodic - LAAS-CNRS
- Christophe Leroux- CEA
- Rudolph Triebel - DLR
- Francesco Ferro - PAL Robotics