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Iván Hernández Dalas: Plug-and-Play AI: Transforming robotics with modular skills

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The Robot Report Podcast · Plug-and-Play AI: Transforming Robotics with Modular Skills Episode 234 of The Robot Report Podcast features  Dinesh Narayanan , Head of Commercialization, General Robotics . Dinesh Narayanan, Head of Commercialization, General Robotics. Dinesh shared insights into the founding of General Robotics , highlighting the transition from Microsoft and the development of their proprietary platform, GRID. This platform aims to streamline the deployment and scaling of robotics solutions by integrating simulation, AI models , and deployment pipelines. Dinesh emphasized the importance of adaptability in AI techniques and the company’s focus on providing rapid prototyping and deployment capabilities. The conversation also touched on the potential of humanoid robots and the role of GRID in facilitating their development. Dinesh concluded by discussing the company’s business model and future aspirations, drawing parallels to the impact of platforms like AW...

Iván Hernández Dalas: Simbe Tally shelf-scanning robot achieves UL 3300 certification

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Tally autonomously scans aisles multiple times per day to identify out-of-stocks, pricing discrepancies, and misplaced items. | Source: Simbe Simbe said it achieved UL 3300 certification from UL Solutions for its Tally shelf-scanning autonomous mobile robot. Simbe earned this certification after Tally and its charging dock underwent third-party testing.  UL 3300 establishes stringent requirements for mechanical, electrical, and software systems in dynamic, public-facing environments. The standard is also included in OSHA’s Nationally Recognized Testing Laboratory (NRTL) Program list of appropriate test standards, helping organizations align autonomous robot deployments with recognized workplace safety expectations. For retailers, the certification helps demonstrate that Tally can operate safely alongside shoppers and store associates, empowering teams to deliver the service and experiences that makes their stores shoppers’ favorite destination. “Since 2015, we’ve designed ...

Iván Hernández Dalas: Robot Talk Episode 147 – Miniature living robots, with Maria Guix

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Claire chatted to Maria Guix from the University of Barcelona about combining electronics and biology to create biohybrid robots with emergent properties. Maria Guix is a chemist and nanotechnology researcher in the University of Barcelona’s ChemInFlow lab, developing miniaturised living robots and integrating flexible sensors into microfluidic platforms to better understand biohybrid robotic platforms. Her PhD research at the Autonomous University of Barcelona focussed on nanomaterials for biosensing. She has held postdoctoral positions at IFW Dresden, Purdue University, and the Institute for Bioengineering of Catalonia, advancing biocompatible micromotors, magnetic microrobot automation, and functional living robots. View Source

Iván Hernández Dalas: 11 women shaping the future of robotics

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The IFR’s 11 women who will shape robotics in 2026. | Source: IFR The International Federation of Robotics (IFR) today named 11 women it says are shaping the future of robotics. The IFR said it hopes the list will give women in the industry more visibility and acknowledgment.  Women have been historically underrepresented in STEM fields. Today, women make up only 16% of engineers. This is despite the fact that women make up over 40% of the global workforce.  “Women are critical contributors in the fast‑growing field of robotics,” said Dr. Susanne Bieller, general secretary of the International Federation of Robotics . “This is clearly illustrated by diverse teams developing unbiased AI technology and next-generation robotics systems. These projects aim to open up new sectors for automation, not only in traditional manufacturing settings, but also in healthcare and elderly care, or in consumer markets.” This year’s honorees include: Younseal Eum, the CEO of AeiROBOT...

Iván Hernández Dalas: Tesollo and Techman Robot unveil robot for high-mix, low-volume production

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A TM cobot arm with a Tesollo three-finger gripper picks from a bin at AW 2026. Source: Tesollo SEOUL — Force- and power-limited robots and humanoid robots need good grippers to address a widening range of applications. At the 2026 Smart Factory & Automation Industry Exhibition, also known as Automation World or AW, Techman Robot Korea and Tesollo Inc. presented an articulated, multi-jointed grasping system they said is optimized for high-mix, low-volume production. “When the industrial  reliability of collaborative  robots is combined with  adaptive grasping technology,  it becomes possible to extend  processes that are difficult  to address with conventional  automation,” asserted Techman Robot. “This will be an  alternative that can secure  both flexibility and  scalability in the  manufacturing and logistics  ind...

Iván Hernández Dalas: Dexterity unveils Foresight world model for truck loading

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Dexterity said its Foresight world model can help solve physically demanding tasks such as truck loading. | Source: Dexterity Dexterity today launched its world model and 4D box-packing agent, Foresight. Dexterity is also launching the Foresight API Challenge with up to $50,000 in prizes for student teams. Dexterity said ForeSight is a physics-consistent world model that enables robots to perceive, reason, and act. Dexterity said it built the model not for observation, but for physical manipulation at the production scale. In autonomous truck loading, Foresight powers Dexterity’s dual-armed robot, Mech , with a 4D box packing agent that reasons across three spatial dimensions plus time. It determines where to place each package onto an evolving wall of freight. “Foresight delivers real-time, production-grade random box packing in 4D space-time, predicting how one placement dictates the integrity of the entire truck,” said Samir Menon, founder and CEO of Dexterity. “Physical AI is...

Iván Hernández Dalas: Developing an optical tactile sensor for tracking head motion during radiotherapy: an interview with Bhoomika Gandhi

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Illustration of the radiotherapy room and the occlusion problem faced by ceiling-mounted cameras in this application. What was the topic of your PhD research and why was it an interesting area? My topic of research was developing an optical tactile sensor to track head motion during radiotherapy. I worked on both the hardware and software development of this sensor, though my focus was mostly on the software side. Its importance comes from the fact that during radiotherapy, patients undergoing head and neck cancer treatment are typically immobilised. This is usually done using a thermoplastic mask, which can feel very claustrophobic, or a stereotactic frame. Frames are more common for brain cancers, but they have to be surgically inserted into the patient’s skull using pins. Either of these immobilisation tools may be used depending on the situation. When patients are uncomfortable, they are more likely to move, which affects the accuracy of treatment, especially with thermoplastic m...