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

Episode 54 of The Robotics Podcast: Lucas and Luna tackle the surprisingly difficult problem of robot arms driving a screw. Why is this basic assembly task still beyond most industrial robots? They break down the physics of torque control, the difference between position control and force control, and why a six-axis arm struggles with the simple act of turning a fastener. The discussion zeroes in...

Lucas and Luna dive into the surprisingly difficult problem of robot manipulation of playing cards. They explore the tactile sensing challenges, the physics of thin flexible objects, and how a 2025 paper from MIT's CSAIL lab used a custom gripper with 64 pressure sensors to achieve a 73 percent success rate at picking up a single card from a deck. The hosts discuss why this matters for industries...

Episode 52 of The Robotics Podcast tackles one of the most deceptively difficult tasks for robots: tying a knot. Lucas and Luna explore why a simple overhand knot — something a child can master — confounds even advanced robot arms. They discuss the physics of string, the problem of continuous contact, and how researchers at MIT and UC Berkeley are using reinforcement learning and tactile sensors t...

Lucas and Luna explore why robot arms still struggle with one of the most basic human tasks: opening a door. They break down the physics of door handles—levers vs. knobs—and the kinematic challenges of coordinating arm and wrist motion while applying the right force. Lucas cites a 2025 study from MIT CSAIL showing that even the latest robot arms fail on standard hinged doors about 40% of the time....

Episode 50 of The Robotics Podcast tackles why robot hands still can't handle a live wire. Lucas and Luna dive into the specific challenges of robotic manipulation with flexible, energized cables — a problem that plagues everything from factory wiring to home-assistance bots. They break down the physics: why compliant grippers fail with limp wires, why force sensing goes haywire with current, and...

Episode 49 of The Robotics Podcast tackles a deceptively hard problem: gripping a slippery, wet bar of soap. Lucas explains why traditional robotic grippers fail on objects with low-friction, non-rigid surfaces, and why even state-of-the-art tactile sensors struggle. Luna points out that this isn't just a bathroom curiosity—it's a barometer for progress in manufacturing and food handling. They dis...

In this episode, Lucas and Luna explore the surprisingly difficult challenge of teaching a robot arm to slice a tomato. They break down the physics of cutting with a knife — variable friction, deformable objects, precise force control — and explain why even the most advanced industrial arms from companies like Fanuc and ABB struggle with a task a sous-chef does in seconds. With comparisons to Amaz...

If you've ever tried to get a robot to pick up a raw egg without smashing it, you know the problem: the gripper either crushes the shell or can't hold on. In this episode, Lucas and Luna dive into the physics of why robot arms struggle with fragile, deformable objects. Lucas explains the fundamental trade-off between grip strength and delicacy, using the example of a surgical Robot that can sew ti...

In this episode of The Robotics Podcast, Lucas and Luna explore a deceptively simple challenge that keeps robotics researchers up at night: picking up a raw egg without breaking it. They break down the physics of fragile objects, the trade-off between speed and precision, and why 'egg handling' is a benchmark for next-generation grippers. Lucas cites a 2025 study from MIT's Soft Robotics Lab showi...

Episode 45 of The Robotics Podcast dives into a deceptively simple problem: why robots can't open a resealable plastic bag. Lucas and Luna explore the physics of thin-film manipulation, the failure of vacuum grippers on flexible materials, and recent research from MIT's CSAIL using electrostatic adhesion and sensory feedback. They discuss why this specific task stumps even advanced systems like th...

Lucas and Luna dive into one of robotics' most overlooked challenges: handling wet, slippery, or lubricated objects. They explore why moisture breaks traditional grip models, how companies like Soft Robotics and OnRobot are approaching the problem with novel materials and sensing, and why the solution may require rethinking robot hands from the ground up. Drawing on specific examples from manufact...

In Episode 43, Lucas and Luna explore one of the most deceptively difficult tasks in robotics: threading a needle. While a human can do it in seconds, a robot arm struggles with the combination of tight tolerances, flexible thread, and force feedback. Lucas breaks down the physics: the needle hole is typically 0.5 to 1 millimeter in diameter, and the thread is a flexible, non-rigid object that buc...

You grab a ceramic mug by the handle without thinking. A robot arm? That simple act requires millimeter-precision, real-time force feedback, and a grasp that adapts as hot liquid shifts the center of mass mid-lift. In this episode, Lucas and Luna walk through a single lab test from a 2025 IEEE paper out of MIT's CSAIL lab: a Franka Emika Panda arm trying to pick up a full, handleless coffee cup. T...

Episode 41 of The Robotics Podcast with Fexingo dives into a hidden challenge in robotics: joint temperature sensing. Lucas and Luna examine why even advanced robot arms lack reliable internal temperature feedback, causing drift, wear, and unexpected failures. They discuss how thermal expansion affects precision in tasks like assembly and machining, and why adding sensors isn't straightforward. Th...

Episode 40 of The Robotics Podcast dives into a fundamental challenge in robotics: proprioception, or the ability of a robot arm to know where it is in space without external sensors. Lucas and Luna explore why even advanced industrial robots can lose track of their position after a collision or drift, and how researchers are using new sensor fusion techniques and AI-based calibration to solve thi...

In this episode of The Robotics Podcast, Lucas and Luna tackle a surprisingly hard problem: why even advanced robot arms struggle to identify a liquid spill on a counter. They explore the physics of specular reflection, the limits of today's vision systems, and how startups are using multispectral cameras and thermal imaging to solve it. Along the way, they reference a 2023 MIT study showing that...

Episode 38 of The Robotics Podcast tackles a deceptively hard problem: why robot arms struggle with twist-off jar lids. Lucas and Luna break down the physics of rotational grip, the role of compliant torque sensors, and a 2025 MIT study that found even state-of-the-art grippers fail on 30 percent of standard mason jar tests. They contrast industrial automation with the surprising complexity of a h...

Episode 37 of The Robotics Podcast explores the overlooked challenge of grasping limp, high-friction materials like leather belts. Lucas and Luna dive into the physics of friction, the limits of vacuum grippers, and why even a $50,000 robot arm fails at something a human does without thinking. They discuss real-world failures in automotive assembly and a surprising fix involving sandpaper and a so...

Episode 36 of The Robotics Podcast dives into one of the most deceptively hard problems in manipulation: using a screwdriver. Lucas and Luna explore why robots, despite having precise force sensors and vision, struggle with rotational tools. They break down the physics of torque reaction, the 'hand-eye coordination' gap, and a key paper from MIT's CSAIL showing that even state-of-the-art robots fa...

Episode 35 of The Robotics Podcast tackles a deceptively simple task that still stumps every robotic hand on the market: screwing in a lightbulb. Lucas and Luna break down the three specific failure modes — thread alignment, torque feedback, and fragile grip — using the example of a standard E26 bulb and a $120,000 industrial arm. They discuss how human instinct for 'wiggle and push' is brutally h...

Episode 34 of The Robotics Podcast tackles the deceptively difficult problem of robotic garment manipulation. Lucas and Luna explore why folding a t-shirt remains a grand challenge in robotics, from the high-dimensional state space of fabric to the limitations of current grippers and perception systems. They examine the Berkeley AutoLab's work on speed-scaling cloth manipulation, the 'Bidirectiona...

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, the limits of current force-torque sensors, and the gap between industrial automation and human dexterity. Along the way, they discuss a 2025 study from the University of Tokyo t...

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 maintaining consistent pressure across uneven surfaces, and why roboticists call this 'the wiping problem.' Using examples from recent research at Carnegie Mellon and Boston Dynamic...

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 creates latency, and why a leading autonomous forklift startup had to add a physical shade hood to keep its cameras working in warehouse loading docks. They also discuss why lidar...

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 logistics robot company that reached profitability on $18M, a surgical-assist arm that bootstrapped to $12M revenue, and a warehouse-picking startup that broke even with just 27 employee...