robotics engineering

(5:00) - New Bioinspired Robot Flies, Rolls, Walks, and More

This episode was brought to you by Mouser, our favorite place to get electronics parts for any project, whether it be a hobby at home or a prototype for work. Click HERE to check out the article on team HUGE and their novel robotics design that’s giving them an edge in the BattleBots competition.

Robotics in Artificial Intelligence (AI) is a fascinating field that involves the integration of AI technologies into robotic systems. It aims to create intelligent robots that can perceive, reason, learn, and interact with their environments autonomously or semi-autonomously. These robots are designed to perform tasks, often in real-world and dynamic environments, with varying levels of human-like behavior and decision-making capabilities.

Key components of Robotics in Artificial Intelligence include:

1. Sensing: Robots equipped with various sensors, such as cameras, LIDAR (Light Detection and Ranging), ultrasound, and touch sensors, can perceive their surroundings. These sensors provide valuable data that the AI algorithms can process to understand the environment and make informed decisions.
2. Actuation: Actuators in robots, such as motors and servos, enable them to interact with the physical world by moving their limbs or other parts. AI algorithms control these actuators to perform actions based on the data gathered from sensors.
3. Path Planning and Navigation: AI plays a crucial role in enabling robots to plan their paths and navigate through complex environments. Algorithms such as SLAM (Simultaneous Localization and Mapping) help robots build a map of their surroundings and localize themselves within it.
4. Machine Learning: AI and machine learning techniques are used to enable robots to learn from data and improve their performance over time. Reinforcement learning, in particular, is commonly applied to robotics, where robots learn from trial and error and feedback to optimize their actions.
5. Computer Vision: Computer vision techniques are used to enable robots to perceive and understand visual information from their surroundings. This capability is essential for tasks such as object recognition, tracking, and scene understanding.
6. Natural Language Processing: For human-robot interaction, incorporating natural language processing (NLP) allows robots to understand and respond to human commands and queries, making communication more intuitive.
7. Human-Robot Interaction: AI also plays a role in developing robots with more human-friendly interfaces, both in terms of physical design and interactive capabilities, to facilitate better and safer collaboration between humans and robots.
8. Cognitive Robotics: Cognitive robotics aims to imbue robots with cognitive abilities like perception, attention, memory, and problem-solving, drawing inspiration from human cognitive processes to enhance their intelligence.

The synergy of Robotics and Artificial Intelligence is continuously advancing, and as AI technologies progress, we can expect to see even more sophisticated and versatile robots contributing to various aspects of our lives and industries.

Kind regards by Schneppat AI & GPT-5

About Yilin Huang  (MSE 2T0 + PEY, Current MSc. Candidate in Science, Technology & Policy @ ETH Zurich)

Yilin Huang is a graduate of the Materials Science & Engineering undergraduate program at the University of Toronto. While at U of T, she completed an academic exchange at the National University of Singapore, did her PEY in Switzerland, was a violinist with Skule™ Nite's Band, the Lausanne Student Chamber Orchestra in Switzerland, and the Hart House Orchestra.

Notable Quotes

• "if you want to figure stuff out, you want to take the risk at the beginning, if there’s something you want to try, you better try it now.” - Yilin Huang, on finding your path.
• “Life is equal no matter where we are... one dollar may go a long way in a worse place.” - Yilin Huang, explaining the philosophy of effective altruism.
• "We don't quit enough things." - Yilin Huang, unconventional advice for undergraduate students.

Read Yilin's letter to first-year engineering students during Frosh 2022 here: https://dearfrosh.com/yilin.html

Resources mentioned with Links

• Centre for International Experience - UofT
• Master in Science, Technology and Policy - ETH Zurich
• DAAD: German Academic Exchange Service
• The Cansbridge Fellowship
• 80000 hours Podcast
• 80,000 Hours Website & Career Advising
• Centre for Effective Altruism
• How to Take Smart Notes: - Sonke Ahrens

Resources on Effective Altruism: Programs 

• Effective Altruism
• The Introductory EA program
• AGI Fundamental Courses - Effective Altruism Cambridge
• Standard Existential Risks Initiative - Stanford

Articles about Yilin

• Engineering Grad to Watch - Yilin Huang

How to get in touch with Yilin

• Email: yl.huang@mail.utoronto.ca
• LinkedIn: https://www.linkedin.com/in/yilin-huang

Submit to our Suggestion Box if you have a great guest idea or request!

This podcast is supported by the Hart House Good Ideas Fund, the Department of Mechanical & Industrial Engineering, the Department of Chemical Engineering, and the Engineering Alumni Network, all at the University of Toronto.

Music from Uppbeat: https://uppbeat.io/t/sonda/were-in-it-together. License code: AT02WGQJBZNM4PMH

(0:57) - Robots Finding Buried Objects🤖🔑

(16:50) - Fake Data To Train Robots🤖🧠

(1:07) - Computer Vision For Footwear

(14:24) - Hoverfly’s Vision For Drone Detection & Tracking

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About the podcast:

Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series. 

To learn more about this show, please visit the shows page. By following the page, you will get automatic updates by email when a new show is published.

Be sure to give us a follow and review on Apple podcasts, Spotify, and most of your favorite podcast platforms!

Take a few seconds to leave us a review. It really helps! https://apple.co/2RIsbZ2 if you do it and send us proof, we’ll give you a shoutout on the show.

(0:50) - Using Bird Biology To Make Efficient Walking Robots

(20:45) - Joystick-operated Robot For Treating Strokes

Episode 68 was brought to you by Mouser Electronics, Farbod & Daniel’s favorite electronics distributor. Click here to read the article discussing the merger of technology and humanity.

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About the podcast:

Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series. 

To learn more about this show, please visit the shows page. By following the page, you will get automatic updates by email when a new show is published.

Be sure to give us a follow and review on Apple podcasts, Spotify, and most of your favorite podcast platforms!

Take a few seconds to leave us a review. It really helps! https://apple.co/2RIsbZ2

 If you do it and send us proof, we’ll give you a shoutout on the show.

(0:55) - Reinventing The Construction Industry: 

There are 150,000 accidents on construction sites every year and there have been little technological advances to mitigate these risks - until now. University of Michigan is leading research efforts to develop a collaborative robot that can handle all the physically strenuous, and dangerous, tasks on the job site with instructions from seasoned construction workers. 

(11:46) - Software To Increase Mental Strength: 
Have you ever struggled to focus when you really need to? Or worse, find your brain to be incredibly active when you are trying to sleep? Well, ETH Zurich researchers have designed a software program to analyze and display brain activity on a spectrum - MyFlow - to make your life a little easier. MyFlow does this via retinal image analysis and can provide activities to train your brain in a manner that best suits you. 

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About the podcast:

Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series. 

To learn more about this show, please visit the shows page. By following the page, you will get automatic updates by email when a new show is published.

Be sure to give us a follow and review on Apple podcasts, Spotify, and most of your favorite podcast platforms!

Take a few seconds to leave us a review. It really helps! 

https://apple.co/2RIsbZ2

 if you do it and send us proof, we’ll give you a shoutout on the show.

Donna Ritson, President, DDR Communications

Hear insights from PMMI's report on why growth in robotics is outpacing forecasts in CPG markets. Discover how to expand robotics along the manufacturing line and explore the question of how CPGs are able to justify the investment of integrating robotics into their operations.

Learn more about PMMI and the UnPACKed Podcast here: https://www.pmmi.org/

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