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

Episode 104 of The Robotics Podcast dives into the surprising limitation of autonomous navigation: why even expensive robot vacuums and industrial AGVs rely on bump-and-go sensors instead of true collision avoidance. Lucas and Luna explore the physics, economics, and engineering trade-offs behind a problem that seems trivial but has stumped roboticists for decades. They discuss how a simple bumper...

In Episode 103 of The Robotics Podcast, Lucas and Luna tackle a surprisingly stubborn challenge in robotics: opening a door. They explore why this simple human action is a nightmare for robot arms, from force sensing and joint trajectories to real-time environmental adaptation. The conversation centers on research from MIT's CSAIL and a recent competition where robots struggled with basic doors. L...

In this episode of The Robotics Podcast, Lucas and Luna explore why folding a fitted sheet remains a grand challenge for robotic manipulation. They break down the core problem: an unstructured deformable object with elastic memory, asymmetrical geometry, and no repeatable grip point. Lucas cites MIT CSAIL's 2025 research on the 'Fitted Sheet Folding' benchmark, revealing that even state-of-the-art...

In this episode, Lucas and Luna explore why even the most advanced robotic grippers struggle with soft, deformable objects like a deflated balloon. They break down the physics of grasping, the limitations of current sensor technology, and how researchers are using machine learning to tackle this seemingly simple task. The discussion focuses on a 2025 study from MIT's CSAIL lab that achieved a 78%...

For the 100th episode, Lucas and Luna step back from the parade of failures — toothpicks, grapes, wet paper towels — and ask what robot hands still can't do after decades of research. They look at the Berkeley 'Flying Pizza' experiment, where a robot flips a piece of dough mid-air and catches it, but still can't handle a single grape. They discuss the fundamental tension between precision and adap...

Episode 99 of The Robotics Podcast with Fexingo dives into a deceptively complex challenge: why industrial robot arms struggle to pick up a single coin from a flat surface. Hosts Lucas and Luna explore the physics of thin, smooth objects, the limits of current gripper technology, and a surprising breakthrough from a university lab using electrostatic adhesion. Along the way, they discuss real-worl...

Lucas and Luna dig into why solving a Rubik's Cube remains a surprisingly hard benchmark for robot manipulation. They break down the specific challenges: the cube's tight tolerances, the need for precise finger gaits, the failure of force-torque sensors on glossy surfaces, and the high computation required for real-time state estimation. They compare current best efforts — a humanoid from a well-k...

In episode 97 of The Robotics Podcast, Lucas and Luna tackle a deceptively hard problem: why robot arms still can't reliably pick up and set down a bowling pin. They walk through the physics—the pin's tilted center of mass, its hard glossy surface, and the need to reorient it in mid-air—and explain why even the latest gripper designs from companies like Festo and RightHand Robotics fall short. Alo...

Lucas and Luna dive into one of robotics' most deceptively hard challenges: picking up a raw chicken egg without breaking it. They unpack the physics of eggshells—how a typical large egg can withstand about 3.6 kilograms of force along its long axis but only 0.5 kilograms from the side—and why most robot grippers lack the tactile sensitivity and adaptive control to handle such fragile, variable ob...

In this episode of The Robotics Podcast, Lucas and Luna explore the surprising difficulty robots face when handling deflated balloons. From the physics of soft, non-rigid objects to the limitations of current gripping technology, they break down why a task a child can master remains a frontier in robotics. Using examples from labs at MIT and Boston Dynamics, they discuss the 'balloon problem' as a...

In this episode, Lucas and Luna dive into why robotic arms struggle with one of the lightest objects imaginable: a feather. They explore the physics of low-mass, high-surface-area objects, discuss how even advanced force-torque sensors fail with featherweight forces, and look at a 2025 DARPA challenge where a robot was tasked with picking up a falling feather. The hosts break down the core issues—...

Episode 93 of The Robotics Podcast: Lucas and Luna tackle one of the most deceptively hard manipulation tasks for industrial robot arms: picking up and squeezing a wet sponge. They break down the physics of soft, porous, compressible objects and why force control, tactile sensing, and real-time adaptation remain unsolved. Specific examples include the DLR's tactile gripper experiments and why Amaz...

Robot arms excel at moving heavy objects with extreme precision, but a single sheet of paper remains a humbling benchmark. In this episode, Lucas and Luna explore the material properties and sensing challenges that make sheet handling uniquely difficult. They examine the physics of thin, flexible substrates, the limitations of grippers and vacuum end-effectors, and real-world applications like pac...

In this episode, Lucas and Luna explore why robotic arms, despite decades of development, still struggle with a task a five-year-old can master: catching a ball. They break down the physics of predictive grasping, the limitations of current sensor fusion, and how a 2025 MIT study using event-based cameras achieved a 60 percent catch rate on slow lobs—still far from human reflexes. The conversation...

Episode 90 of The Robotics Podcast. Lucas and Luna explore why precision cutting—specifically halving a lemon—remains a surprisingly hard problem for industrial robot arms. They break down the physics of deformable objects, the role of real-time force feedback, and a recent breakthrough from a team at MIT CSAIL that used reinforcement learning to teach a robot arm to adapt its cut depth based on l...

In this episode of The Robotics Podcast, Lucas and Luna explore why even the most advanced robotic arms struggle with a seemingly simple object: a crayon. They break down the three core challenges—grasp variability, force control, and visual occlusion—that turn a child's drawing tool into a nightmare for industrial grippers. Drawing on recent research from MIT's Soft Robotics Lab and a 2025 paper...

In this episode, Lucas and Luna explore why even the most advanced robotic arms struggle with soldering on printed circuit boards. They break down the physics of molten solder, the limits of vision-guided placement, and a specific 2024 study from the University of Bristol where a robot failed to produce a single reliable joint across 500 attempts. The conversation touches on thermal dynamics, forc...

Episode 87 of The Robotics Podcast dives into one of the hardest unsolved problems in industrial robotics: sorting a mixed bin of household trash. Lucas and Luna examine why a task that a human can do in seconds—picking a plastic bottle from a dirty diaper—remains nearly impossible for today's robot arms. They discuss the specific sensory and mechanical challenges: the unbounded variety of object...

Episode 86 of The Robotics Podcast tackles a deceptively simple challenge: picking up a single sheet of paper from a flat surface. Lucas and Luna break down why this everyday task stumps even the most advanced industrial robot arms. They explore the physics of friction and surface adhesion, the limits of force sensing, and why existing suction and electrostatic grippers fail. The conversation also...

Lucas and Luna tackle a deceptively simple task that exposes the limits of modern robotics: threading a needle. They break down why a 0.2-millimeter wire through a 0.5-millimeter hole stumps even advanced robot arms, touching on issues of precision, force control, vision systems, and material flexibility. Using examples from ABB and FANUC, they explain the physics and engineering challenges, and w...

Episode 84 of The Robotics Podcast dives into the astonishing difficulty of gripping, tearing, and crumpling a wet paper towel. Lucas and Luna explore the physics of capillary adhesion, the limits of current gripper designs, and why a task that takes a human half a second still baffles the world's best roboticists. They look at a 2025 paper from MIT's CSAIL lab that measured the force variation in...

In episode 83 of The Robotics Podcast, Lucas and Luna explore why grasping a single grape is a monumental challenge for today's robot arms. They break down the physics of deformable objects, the limitations of current gripper designs, and a surprising 2025 study from MIT's CSAIL that benchmarked 12 commercial arms on table grapes. The conversation covers tactile sensing gaps, the 'squeeze vs. brui...

Lucas and Luna dive into the surprisingly hard problem of robotic lock picking. While robot arms excel at brute force tasks, the delicate tactile feedback and precision required to manipulate a pin-tumbler lock — feeling each shear line, applying just enough torque — remains a major challenge. They discuss a 2025 paper from MIT CSAIL that benchmarked a dexterous hand against a novice human picker....

Robots can assemble cars, pack boxes, and even perform surgery. But ask a robot arm to untie a simple knot in a shoelace, and it falls apart. In this episode, Lucas and Luna explore why knot-tying and untying remain a monumental challenge for robotics. They break down the physics of friction, the limits of current tactile sensors, and how one research team at MIT is using a new 'reactive manipulat...

Why can a two-million-dollar industrial robot arm lift a car engine but fail to pick up a single wooden toothpick from a table? In Episode 80 of The Robotics Podcast, Lucas and Luna drill into the physics of 'stick-slip' friction, the limits of proprioception in rigid serial-link manipulators, and why the toothpick problem reveals a fundamental gap in robot control theory. They walk through a 2025...