From factory floors to humanoid machines — the history and extraordinary future of robotics.
Podcast Overview
From factory floors to humanoid machines — the history and extraordinary future of robotics.
Language
🇺🇲
Publishing Since
4/9/2026
1 verified contact email on file for Robotics
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
July 1, 2026
Tomorrow's Companions: The Future of Human-Robot Relationships
Explore the evolving landscape of human-robot relationships in this thought-provoking episode of Robotics with Daniel Cole. Discover how social robots are already transforming elder care, education, and workplace collaboration across the globe. Learn about the psychological factors that drive humans to form emotional bonds with artificial beings, from simple vacuum robots to sophisticated companion systems. The episode examines real-world applications of social robotics in Japan's elder care facilities, collaborative robots in manufacturing, and AI tutors in educational settings. Cole discusses the ethical implications of emotional dependency on robots, privacy concerns with constantly observing artificial companions, and the emerging debates around robot rights. Cultural differences in robot adoption and integration are explored, highlighting how different societies approach human-robot relationships. The episode addresses key questions about the nature of meaningful relationships when only one party experiences genuine emotions, and considers future scenarios where robots might serve as family memory repositories or intergenerational bridges. Perfect for technology enthusiasts, ethics students, and anyone curious about our increasingly automated future, this episode provides balanced perspectives on both the opportunities and challenges of forming deep connections with artificial beings in our daily lives.
June 24, 2026
Robot Rights and Human Jobs: Ethics in the Age of Automation
In this thought-provoking episode of Robotics, host Daniel Cole explores the complex ethical landscape of advanced automation and artificial intelligence. We examine the emerging debate around robot rights, from Saudi Arabia granting citizenship to Sophia the robot to philosophical questions about consciousness and moral consideration for artificial beings. The discussion then turns to automation's impact on human employment, comparing current AI-driven job displacement to historical technological transitions like the Industrial Revolution and the rise of computers. Cole analyzes the unique challenges posed by cognitive automation affecting white-collar professions and explores potential solutions including universal basic income, worker retraining programs, and corporate responsibility. The episode examines real-world examples from Amazon warehouses to manufacturing automation, considering both local and global implications of widespread robotic adoption. Drawing on insights from philosophers, economists, and technology leaders, this episode presents balanced perspectives on managing the transition to an increasingly automated economy while maintaining human dignity and social equity. Essential listening for anyone interested in the intersection of technology, ethics, and economic policy in the robotics age.
June 17, 2026
The Uncanny Valley: Why Almost-Human Robots Disturb Us
In this episode of Robotics, host Daniel Cole explores the uncanny valley phenomenon—the psychological response that makes almost-human robots deeply unsettling. Discover how Japanese roboticist Masahiro Mori first identified this effect in 1970 and why our brains react negatively to entities that appear nearly, but not quite, human. Learn about the evolutionary and cognitive theories that explain this response, from pathogen avoidance mechanisms to cognitive dissonance. The episode examines how the uncanny valley affects everything from CGI movie characters to therapeutic robots, and explores strategies roboticists use to navigate this psychological challenge. Cole discusses cultural variations in uncanny valley responses, the role of familiarity in acceptance, and how modern AI advances are helping bridge this gap. Understanding the uncanny valley is crucial as humanoid robots become more prevalent in healthcare, education, and social settings. This fascinating psychological phenomenon reveals deep insights about human nature and has significant implications for designing robots that people will accept and trust. As we enter an era of increasingly sophisticated artificial beings, grasping why almost-human robots disturb us becomes essential knowledge for shaping our technological future and human-robot relationships.
13 total episodes available
Deep-dive analytics for Robotics
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Robotics?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.