Hosted by Unknown Host · EN · 5 episodes
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Lucas and Luna examine the state of autonomous systems and industrial robotics, from the latest in sensor fusion and manipulation algorithms to the business realities of deploying hardware at scale. Each episode picks a specific robot class— collaborative arms, autonomous mobile robots, humanoids—and traces its technical lineage, market adoption, and the engineering trade-offs that determine whether a prototype becomes a factory staple. Lucas, with a journalist’s precision, dissects recent papers from ICRA and IROS, while Luna pushes on cost-per-unit, reliability metrics, and the supply chains behind actuators and compute modules. They name companies—Fanuc, ABB, Boston Dynamics, Agility Robotics—and the real numbers behind their deployments. Who pays for these robots? Which industries see positive ROI, and which are still waiting for the killer app? The listener leaves with a clear map of where the hardware stands and what it takes to turn a research breakthrough into a product that works on a dirty factory floor.
Unknown Host hosts The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware, a general show with 5 episodes published.
In this episode of The Robotics Podcast, Lucas and Luna explore a deceptively simple question: why can't a state-of-the-art robot arm reliably pick up a single Lego brick? They dive into the physics of precision grasping
In this episode of The Robotics Podcast, Lucas and Luna explore the surprising difficulty of one of the most mundane household tasks: wiping a countertop. They break down the physics of contact forces, the challenge of m
Episode 31 of The Robotics Podcast explores why robot vision systems fail so dramatically under bright, direct sunlight. Lucas and Luna break down the physics: why CMOS sensors saturate, how high-dynamic-range processing
Episode 30 debates the capital efficiency myth in robotics. Lucas argues that recent high-profile failures prove startups need at least $100M to scale hardware. Luna counters with three specific counterexamples: a logist
In this episode of The Robotics Podcast, Lucas and Luna explore a deceptively hard challenge for robots: opening a door. They break down the physics of latching mechanisms, the force-torque sensing problem, and why a tas
Lucas and Luna dive into one of robotics' most stubborn problems: grasping deformable objects. They use the specific case of a tennis ball — something a human hand can grab without thinking — to illustrate why even the m
In this episode of The Robotics Podcast, Lucas and Luna explore why even the most advanced robotic arms struggle to handle high-variation parts like car doors. They discuss the core problem of tolerance stacking in autom
Episode 26 of The Robotics Podcast dives into an everyday frustration that exposes a deep gap in robotics: inserting a USB plug correctly. Lucas and Luna explore why humans do it effortlessly while robots fail 30 percent
In Episode 25 of The Robotics Podcast, Lucas and Luna tackle one of robotics' most stubborn unsolved problems: cable manipulation. Why can't a robot arm reliably plug in a USB cable or route a charging cord? The hosts di
Knot-tying is one of the hardest manipulation tasks for robots — it requires precise force control, complex trajectory planning, and handling deformable objects. In this episode, Lucas and Luna explore why knot-tying rem
Episode 23 of The Robotics Podcast digs into a hidden bottleneck in industrial robotics: force-torque sensor reliability. Lucas explains why even a $100,000 robot arm can't tell if it's tightening a bolt or crushing an e
Episode 22 of The Robotics Podcast picks a deceptively simple task: tightening a screw. Lucas explains why a torque-controlled robot arm still strips threads or fails to seat bolts, using the production lines at a German
Episode 21 of The Robotics Podcast with Fexingo dives into a deceptively hard problem: tightening a bottle cap. Lucas and Luna break down why torque control, compliance, and tactile sensing make this simple human gesture
Lucas and Luna dig into a surprisingly hard robotics problem: packing a suitcase. Unlike folding a towel or picking an apple, suitcase packing requires reasoning about irregular 3D space, varying object stiffness, and dy
Lucas and Luna dig into one of robotics' most stubborn problems: dextrous manipulation of soft, irregular objects. They focus on why peeling a potato is surprisingly harder than assembling a car, and how a team at Carneg
Lucas and Luna explore why robot sensors struggle in high-humidity environments like food processing plants and coastal warehouses. They focus on a 2025 incident at a seafood processor where condensation caused a vision-
Lucas and Luna explore the hidden bottleneck in industrial robotics: the physical move. When a car maker relocates a robotic assembly line, the process can take weeks—even months—because each robot's kinematic model, saf
Lucas and Luna dive into why lithium-ion battery fires are a growing concern in robotics, from warehouse fleets to humanoid prototypes. Using the 2025 recall of 40,000 Locus Robotics bots as a case study, they explain th
Lucas and Luna break down why humanoid robots — despite all the splashy demos from Tesla, Figure, and Agility Robotics — are still a long way from replacing human workers. They focus on the specific bottleneck of energy
In episode 14 of The Robotics Podcast, Lucas and Luna explore a surprising frontier in robotics: why even the most advanced robot arms struggle with tasks that humans find trivial, like threading a needle or handling a r
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The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware is hosted by Unknown Host. The show is categorised under General and has published 5 episodes.
The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware has published 5 episodes.
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Episodes of The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware average 10 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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