OLogic will present at RoboBusiness 2026 on egocentric robot learning, a method where robots acquire skills by observing human demonstrations captured via wearable cameras and teleoperation. The session, led by CEO Ted Larson, will cover the technical foundations, challenges, and future implications of this approach, which has attracted attention from NVIDIA, Google DeepMind, Meta, and emerging robotics startups. By enabling robots to learn directly from human behavior, the technology promises faster, cheaper deployment across manufacturing, logistics, healthcare, [...]

Researchers are exposing critical safety gaps in modern “Physical AI” robots that rely on multimodal sensors and AI-driven decision making. Studies such as BadVLA and GoBA demonstrate backdoor attacks that trigger malicious action trajectories when specific visual cues appear, achieving up to 97 % success without degrading normal performance. System‑level flaws compound the risk: the UniPwn Bluetooth exploit disclosed in September 2025 can hijack quadruped and humanoid robots, decrypt traffic, bypass authentication and inject commands, potentially spreading across fleets. [...]

Researchers at Ulsan National Institute of Science and Technology have created UniSim‑SLAM, an AI‑driven spatial recognition system that builds precise three‑dimensional maps from camera images while tracking moving objects in real time. The method merges rapid two‑frame pose estimation with detailed sub‑map analysis, using Sim(3) factor‑graph optimization to align scale, rotation and position across both data streams. Benchmarked on the 7‑Scenes indoor dataset, UniSim‑SLAM achieved an average path error of 2.0 cm, cutting errors by up to 45.9 % [...]

Shivansh Inamdar, a robotics engineer at Nimble Robotics, explains how a 95% pick‑accuracy rate in warehouse robots translates into thousands of daily failures when scaled to 50,000 picks. He argues that commercial viability hinges not on eliminating failures but on designing systems that manage them efficiently. Inamdar highlights that each percentage point improvement reduces failures by hundreds, yet even a 97% success rate still yields 1,500 errors. The article underscores the importance of robust error handling in [...]

InOrbit Inc. launched OpenRobOps (ORO), an open‑source fleet‑management platform that implements ISO 21423, the emerging standard for industrial mobile robot interoperability. The software offers high‑throughput telemetry, real‑time spatial tracking, configuration‑as‑code, automated incident remediation, and an edge‑to‑cloud architecture. It supports heterogeneous fleets through native Open‑RMF adapters and aims to eliminate the “build trap” that forces OEMs to develop custom back‑ends. The release positions InOrbit as a key contributor to global robotics standards and scalable fleet orchestration. [...]

Agility Robotics unveiled Digit 5, a 1.8‑meter, 129‑kg humanoid capable of lifting 23 kg to 2.1 m, operating over 20 hours daily, and stopping or seating itself to prevent falls. The robot’s bird‑leg design balances power and stability, while its safety protocol eliminates the need for physical barriers. Production costs are projected to fall below $50,000 at 10,000 units per year, with a service price of $8,500/month, potentially saving employers $100,000 annually per unit.

DorsaVi Ltd. (ASX:DVL) has released its first hard performance data from engineered resistive‑RAM (RRAM) structures, marking a pivotal shift from its original wearable‑sensor focus to ultra‑edge hardware aimed at humanoid robotics. The company’s electrical measurements quantify the energy required to change a memory state, a critical metric for embedding RRAM in robotic fingertips. DorsaVi’s management now explicitly links its RRAM‑CMOS pathway to autonomous systems, industrial automation, and advanced robotic hands, positioning the firm as a potential key [...]