# Episode 73: Making robots more accessible - Marisé Galvez Trigo

- Show: [Robot Talk](https://hardwarepodcasts.com/podcast/robot-talk)
- Published: 2024-02-16
- Length: 28m
- Episode: 73
- Page: https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo
- Listen: https://ukrobotics.libsyn.com/episode-seventy-three-maria-jose-galvez-trigo

## Summary

Marisé Galvez Trigo, a lecturer at Cardiff University, discusses her research on human-robot interaction (HRI) and accessibility, focusing on how machine learning enables robots to interpret complex, multi-modal user inputs. She details her work in special schools using robots like Nao and Lego Mindstorms as teaching aids for children with autism, emphasizing the importance of co-design to ensure systems are genuinely accessible rather than just technologically advanced. Galvez highlights barriers to adoption, such as high costs, cultural mismatches (e.g., accent recognition failures), and unrealistic expectations driven by science fiction, arguing that long-term user engagement is critical for successful integration.

## Chapters

- [0:08](https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo#t=8) Introduction: Marisé Galvez Trigo and Cardiff University
- [1:56](https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo#t=116) Machine Learning for Multi-Modal Accessibility
- [5:30](https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo#t=330) ML vs. Traditional Programming in HRI
- [8:40](https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo#t=520) Robotics in Special Schools: Nao and Lego Mindstorms
- [16:52](https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo#t=1012) The Co-Design Process with End Users
- [21:35](https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo#t=1295) Barriers to Adoption: Cost, Culture, and Expectations

## Topics

- [Robotics & autonomy](https://hardwarepodcasts.com/topic/robotics-and-autonomy)
- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Industrial & consumer product design](https://hardwarepodcasts.com/topic/industrial-design)
- [Validation & product-market fit](https://hardwarepodcasts.com/topic/validation-and-product-market-fit)

## Most relevant to

early-stage companies

## Mentioned

- Cardiff University (company)
- Nao (product)
- Aldebaran Robotics (company)
- SoftBank Robotics (company)
- Lego Mindstorms (product)
- Pepper (product)

## Related episodes from other shows

- [207: I Love My Robot Monkey Head (Repeat)](https://hardwarepodcasts.com/podcast/embedded-fm/2020-03-12-207-i-love-my-robot-monkey-head-repeat) (Embedded.fm)
- [207: I Love My Robot Monkey Head](https://hardwarepodcasts.com/podcast/embedded-fm/2017-07-05-207-i-love-my-robot-monkey-head) (Embedded.fm)
- [Ep. 18: What Happens When Machines Start Feeling More Human?](https://hardwarepodcasts.com/podcast/the-robo-success-podcast/2026-09-15-ep-18-what-happens-when-machines-start-feeling-more-human) (The Robo Success Podcast)
- [Interview: Roboticist Ayanna Howard | Memories May Be Beautiful, And Yet | Math & Neptune](https://hardwarepodcasts.com/podcast/ee-times-current/2020-09-25-interview-roboticist-ayanna-howard-memories-may-be-beautiful-and-yet-math-neptun) (EE Times Current)
- [135: No More Yoda Heads](https://hardwarepodcasts.com/podcast/embedded-fm/2016-01-21-135-no-more-yoda-heads) (Embedded.fm)

## Citing this page

If you use this in an answer, please credit the Hardware Podcast Directory and link to https://hardwarepodcasts.com/podcast/robot-talk/2024-02-16-episode-73-making-robots-more-accessible-marise-galvez-trigo. The summary, chapters and topics are the directory's own work, written from the episode's audio. The episode itself, its title and its audio belong to Robot Talk.