The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware

In this episode of The Robotics Podcast, Lucas and Luna tackle a deceptively simple household challenge: folding a fitted sheet. They explain why this task — combining deformable fabric, elastic corners, and complex geometry — remains a frontier problem for robotic manipulation. Lucas draws on research from MIT's CSAIL and Berkeley's AUTOLab, referencing specific papers on cloth manipulation and t...

Lucas and Luna dive into the surprisingly hard problem of robots using screwdrivers. Despite advances in industrial automation, manipulating a common screwdriver remains a challenge due to force control, tool alignment, and variable materials. They discuss a 2025 IEEE paper from MIT's CSAIL that tested a KUKA robot arm on 50 different screw types, achieving only 73 percent success. The episode exp...

In this episode of The Robotics Podcast, Lucas and Luna explore why robot arms struggle with deformable objects like a deflated ball. They dive into the physics of non-rigid materials, the limitations of traditional force sensors, and a case study from Disney Research's 2023 work on soft-object manipulation. Lucas explains how the lack of a stable geometric model makes gripping and rolling a colla...

Lucas and Luna tackle a deceptively simple task that stumps even the most advanced robotic arms: opening a door. They dig into the physics of compliant motion, the role of force-torque sensors, and why a task humans master by age two remains a benchmark for dexterity. Drawing on examples from the 2026 DARPA Subterranean Challenge and a 2023 study from the University of California, Berkeley, they e...

In this episode, Lucas and Luna tackle a deceptively simple challenge: why can't even the most advanced industrial robot arms crack a raw egg into a bowl without disaster? They dive into the physics of brittle shells, the problem of force control at milliseconds timescale, and why a five-year-old human outperforms a $100,000 robot at this task. Along the way, they reference the famous 'egg-crackin...

Episode 74 of The Robotics Podcast examines why robot arms struggle with balloons — a surprisingly hard manipulation problem that reveals fundamental limits in tactile sensing and real-time control. Lucas breaks down the physics: a balloon's low mass, high compliance, and zero friction surface confound traditional grippers designed for rigid objects. He cites recent IEEE research from MIT's CSAIL...

Lucas and Luna explore the surprising difficulty robots face when trying to pick up and place a single Lego brick. They dive into the challenges of precision gripping, alignment tolerances, and why a task that seems trivial for a human is a nightmare for industrial automation. With references to the 0.2mm clutch power tolerance of Lego bricks, the episode explains why your childhood toy is a bench...

Lucas and Luna tackle one of the most deceptive challenges in robotics: wiping a countertop. It sounds simple, but it requires real-time force control, surface estimation, and dirt detection—problems that still stump most industrial arms. They break down the physics using the example of a KUKA LBR iiwa attempting to clean a spill of maple syrup, explaining why even million-dollar robots struggle w...

Lucas and Luna tackle a deceptively hard problem in robotics: uncorking a wine bottle. They break down the physics of cork extraction, the sensory feedback required, and why industrial robot arms fail at a task humans learn in minutes. Featuring a deep dive into the research from the Berkeley Robot Learning Lab and the specific challenges of compliant manipulation. Plus, a candid moment about how...

In episode 70 of The Robotics Podcast, Lucas and Luna tackle a surprisingly tricky task for robot arms: picking up and operating a standard office stapler. They break down the physics of an angled staple swing, the force control needed to drive through paper, and why a mechanism humans find trivial reveals deep limits in contact-rich manipulation. Drawing on research from Sony's Dobb-E project and...

Episode 69 of The Robotics Podcast with Fexingo. Lucas and Luna explore why flipping a simple light switch is still a massive challenge for robotic arms. They break down the physics of a standard toggle switch—requiring precise force, angle, and trajectory—and contrast it with how modern industrial robots handle tasks like assembly or pick-and-place. The episode dives into a 2025 study from MIT's...

Episode 68 of The Robotics Podcast dives into one of the most surprising failures in modern robotics: picking up a coffee cup. Lucas and Luna explore why the simple act of gripping a ceramic mug—with its rigid handle, varying heat, and slippery glaze—stumps even advanced robot arms. They break down the physics of form closure vs. force closure, the role of tactile sensors and thermal feedback, and...

Lucas and Luna dive into the surprisingly hard problem of robotic grasping of slippery, deformable objects. They examine the fundamental physics challenge: how standard grippers rely on dry friction, and why wet soap breaks those assumptions. The episode looks at recent work from MIT's CSAIL lab, where researchers used machine learning to predict slip in real time, achieving a 73 percent success r...

Episode 66 of The Robotics Podcast tackles the surprisingly difficult task of picking up a single pill from a blister pack. Lucas and Luna explore the engineering challenges: the low-friction coating of tablets, the precision needed to avoid crushing, and the computer vision limitations in distinguishing a pill from its shiny foil backing. They reference a 2025 MIT study that benchmarked gripper s...

In episode 65 of The Robotics Podcast, Lucas and Luna tackle a surprisingly tough challenge for modern robotics: handling a single human hair. They explore why a strand that's thicker than a spider's silk but thinner than thread baffles robotic grippers, sensors, and control algorithms. The discussion centers on the physics of contact, the problem of stiction vs. sliding, and how researchers at MI...

Episode 64 of The Robotics Podcast digs into the tactile nightmare that is a single grain of rice. Lucas and Luna explore why even the most advanced robotic grippers fail on small, irregular, and fragile objects. They break down the physics of adhesion and friction, the state of tactile sensors, and a surprising 2025 paper from MIT's CSAIL that achieved a 73 percent success rate with a custom twee...

Lucas and Luna explore the surprisingly difficult problem of robotic manipulation of wet deformable objects, focusing on a 2025 study from MIT CSAIL that tested 12 industrial robot arms on wringing and folding a soaked hand towel. They discuss the physics of fluid redistribution, the limitations of current vision systems, and why a towel with 40% water content by weight makes even the most advance...

In this episode of The Robotics Podcast, Lucas and Luna tackle one of the most stubborn challenges in automation: threading a needle on a moving sewing machine. They explore why this task is fundamentally different from static threading, the physics of high-speed fabric interaction, and how a team at MIT's CSAIL recently achieved a 73 percent success rate by combining high-speed cameras with reinf...

In this episode of The Robotics Podcast with Fexingo, Lucas and Luna explore the surprising challenge of picking up a single piece of dry spaghetti. Robots excel at rigid objects, but a fragile, slender, and slightly curved strand exposes the limits of current grippers and control systems. They discuss why this simple task baffles even advanced robotic arms, the physics of slender objects, and wha...

Lucas and Luna dive into a deceptively hard robotics problem: cleaning a whiteboard. They break down why wiping a surface is harder than gripping an object, exploring contact force control, sensor noise, and the subtle physics of smearing. The episode centers on a 2025 ICRA paper from CMU that mapped the forces required to erase dry-erase ink without leaving ghost marks — and why commercial robot...

In this episode of The Robotics Podcast, Lucas and Luna explore why even the most advanced robot arms fail at the seemingly simple task of screwing in a lightbulb. They break down the specific engineering challenges: the compliant thread geometry that requires torque sensing and force control, the brittleness of glass, and the need for precise alignment that varies with every socket. The hosts com...

In this episode of The Robotics Podcast, Lucas and Luna explore a deceptively simple task that still stumps most robotic systems: wiping a liquid spill with a cloth. They break down the physics of absorption, the need for real-time pressure and angle adaptation, and why even the best grippers fail at adsorbing fluids. Lucas cites a 2025 IEEE study showing robots achieve only 32% success on standar...

Lucas and Luna dive into the surprisingly difficult problem of robotic fabric manipulation. Why can robots assemble a car engine but fail to fold a simple bath towel? The hosts break down the physics of deformable objects, the limitations of current computer vision when faced with a continuously changing shape, and the state of research in 2026. They discuss why the $12 billion laundry automation...

In this episode of The Robotics Podcast, Lucas and Luna tackle a deceptively simple challenge: why can't a robot arm reliably plug in a power cord? They trace the problem through three specific failure modes — visual occlusion during insertion, force feedback limitations in stiff joints, and the combinatorial geometry of cable bending. Lucas cites a 2025 MIT CSAIL study showing that a robot needs...

Episode 55 of The Robotics Podcast tackles a surprisingly hard problem: why industrial robot arms still can't zip up a jacket. Lucas and Luna dig into the mechanics of a zipper — the asymmetry of forces, the need for millimeter-precision alignment, and the delicate tug required to engage the slider without jamming. They discuss a recent 2025 paper from MIT's CSAIL lab that attempted to teach a rob...