Published Oct 21, 2019

Clean Sweep: Tokyo Robotics Company Builds Tidying Robots - Ep. 101

Explore how Preferred Networks is revolutionizing the robotics industry with tidying robots that use cutting-edge computer vision and natural language processing. Jun Hatori delves into the synergy between hardware and software, the challenges of data collection, and the future of autonomous cleaning technology.

Episode Highlights

Topics covered

Popular Clips

Episode Highlights

Related Episodes

Ep. 35: Jetson Interns Assemble! Interns Discuss Amazing AI Robots They're Building
Answers 383 questions
How Two Stanford Students Are Building Robots for Handling Household Chores - Ep. 224
Answers 383 questions
Kiwibots Bring Sustenance to Students - Ep. 96
Answers 383 questions
Ep. 37: Sergey Levine on How Deep Learning Will Unleash a Robotics Revolution
Answers 383 questions
Ep. 33: Why Warehouses Could Be the Sweet Spot for Flying Robots
Answers 383 questions
Nanotronics Brings Deep Learning to Precision Manufacturing - Ep. 109
Answers 383 questions
Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More
Answers 383 questions
Focal Systems Brings AI to Grocery Stores - Ep. 97
Answers 383 questions
AI Startup Brings Computer Vision to Customer Service - Ep. 102
Answers 383 questions
Ep. 42: AI Serves Up Feast of Recipes for Thanksgiving (and Beyond)
Answers 383 questions
Art(ificial) Intelligence: Pindar Van Arman Builds Robots that Paint - Ep. 129
Answers 383 questions
Ep. 6: How AI Turns Kiddie Cars Into Autonomous Racers
Answers 383 questions
Ep. 22: Kitt.ai Co-Founder on How AI Lets Us Talk with Our Machines
Answers 383 questions
Ep. 20: Live at GTC - How AI Will Bring More Joy to Your Cooking
Answers 383 questions
Ep. 9: Winning the Cybersecurity Cat and Mouse Game with AI
Answers 383 questions

Dexa/The AI Podcast

Clean Sweep: Tokyo Robotics Company Builds Tidying Robots - Ep. 101

Topics covered

Popular Clips

Autonomous Tidying Robot

Robotic Object Classification

NLP and Robotics

Hardware and Software Synergy

Episode Highlights

Robotic Innovations

NLP Integration

Hardware and Software

Related Episodes

Ep. 35: Jetson Interns Assemble! Interns Discuss Amazing AI Robots They're Building

How Two Stanford Students Are Building Robots for Handling Household Chores - Ep. 224

Kiwibots Bring Sustenance to Students - Ep. 96

Ep. 37: Sergey Levine on How Deep Learning Will Unleash a Robotics Revolution

Ep. 33: Why Warehouses Could Be the Sweet Spot for Flying Robots

Nanotronics Brings Deep Learning to Precision Manufacturing - Ep. 109

Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More

Focal Systems Brings AI to Grocery Stores - Ep. 97

AI Startup Brings Computer Vision to Customer Service - Ep. 102

Ep. 42: AI Serves Up Feast of Recipes for Thanksgiving (and Beyond)

Art(ificial) Intelligence: Pindar Van Arman Builds Robots that Paint - Ep. 129

Ep. 6: How AI Turns Kiddie Cars Into Autonomous Racers

Ep. 22: Kitt.ai Co-Founder on How AI Lets Us Talk with Our Machines

Ep. 20: Live at GTC - How AI Will Bring More Joy to Your Cooking

Ep. 9: Winning the Cybersecurity Cat and Mouse Game with AI

Clean Sweep: Tokyo Robotics Company Builds Tidying Robots - Ep. 101

Topics covered

Popular Clips

Episode Highlights

Robotic InnovationsJun Hatori, a software engineer at Preferred Networks, discusses the development of a tidying robot that combines computer vision and natural language processing. He explains how these technologies enable the robot to autonomously clean rooms and interact with users intuitively.

Robotic Innovations

NLP IntegrationJun Hatori discusses the integration of natural language processing (NLP) into robotics at Preferred Networks. He highlights the challenges and innovations in creating robots that can understand and execute spoken commands.

NLP Integration

Hardware and SoftwareNext, Jun Hatori from Preferred Networks discusses the critical role of advanced hardware and the challenges of data collection in developing their tidying robots. He highlights the synergy between hardware and software and the necessity of vast data for effective AI training.

Hardware and Software

Related Episodes