Ivan Hernandez Dalas - Mechatronics

Allen Control Systems’ Bullfrog uses AI models to target drones or other threats. | Source: Allen Control Systems Allen Control Systems has raised $200 million in Series B funding. This puts the company’s valuation at $2.2 billion, Allen Control Systems (ACS) claimed. ACS will use the funding to scale manufacturing and accelerate deployment of its autonomous weapon station, Bullfrog, for the United States and allied militaries. The company also plans to develop new product lines. Bullfrog is a lightweight, low-power autonomous weapon station that combines AI , computer vision, and precision robotics. ACS said it designed Bullfrog to detect, identify, and neutralize enemy unmanned systems. The company claimed Bullfrog excels in both on-the-move operations and the protection of high-value targets like power substations. The system is capable of engaging group 1-3 UAs, and it offers both autonomous and semi-autonomous modes. “Drone threats are growing faster than traditiona...

Embodied AI is evolving from vision-centric perception toward Physical AI. While vision enables robots to perceive the world, it cannot fully capture the physical interactions that underpin real-world manipulation, limiting robots’ ability to operate reliably in unstructured environments. As World Models advance, tactile sensing is increasingly recognized as a key modality. By providing critical physical feedback beyond vision, tactile helps robots understand and interact with the physical world, making it an essential foundation for intelligent manipulation. Yet one critical question remains difficult to answer: How much does tactile sensing actually improve physical interaction? In what ways does it improve robot manipulation? What kinds of tactile data are most needed for physical AI? While many robotics developers believe tactile will play an important role in the next generation of embodied intelligence, the industry lacks a standardized way to evaluate its impact. Witho...

The AAMAS 2026 best paper awards were presented at the 25th International Conference on Autonomous Agents and Multiagent Systems , which took place from 25-29 May 2025 in Paphos, Cyprus. The winners and nominees in the three categories (best paper, best student paper, best blue sky paper) are as follows: Best Paper Award Winner Developing Guidelines for Human-LLM Agent Teams: A Multi-Stakeholder Lens , Mireia Yurrita, Davide Dell’Anna, Pradeep K. Murukannaiah, Catholijn M Jonker, and Pinar Yolum Nominees UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles , Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander Todd Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, and Ufuk Topcu Ratio-Based Signaling for Source-Victim Separation in Swarm Fault Detection , Longyin Cui The Impossibility of Strategyproof Rank Aggregation , Manuel Eberl and Patrick Lederer Gene...

Participants in the challenge tested and debugged robots working on different tasks. | Source: AGIBOT AGIBOT Innovation Technology Co. last week hosted the AGIBOT World Challenge 2026 alongside ICRA 2026 in Vienna. The company brought together 526 research and enterprise teams from 27 countries to compete across two embodied AI tracks: “Reasoning to Action” and “World Model.” Shanghai-based AGIBOT said the competition highlighted a key shift in how embodied  AI is evaluated . The company said it showed that the industry is moving beyond simulation scores toward closed-loop testing on real robots, real tasks, and standardized benchmarks. The competition adopted a benchmark-driven format that combined online automated evaluation with an offline real-robot final in Vienna. With AGIBOT’s EWMBench and Genie Sim Benchmark, the consistent framework enabled automated testing, standardized metrics, and reproducible results. During the offline final, finalist teams ...

The Dawn cafe, in which people with disabilities teleoperate robots, shows the possibility of human-robot collaboration across industries. Source: OryLab In Japan, robot cafes remotely run by people with disabilities reveal a side to the automation story that is not often talked about: Robots can bring people into the workplace rather than replace them. We are now seeing this concept in manufacturing. This is an important counterpoint to the common misconception that robots will replace human workers. In 2024, 542,000 robots were installed, more than double the number 10 years prior, according to the International Federation of Robotics ( IFR ). Robots’ role is being increasingly viewed as a value generator beyond time efficiency. A little over half of global manufacturers are adopting robots for quality improvement. Manufacturers should not focus on whether AI will replace humans. The most important questions they should be asking are: Into which processes should AI be i...

The Robot Report Podcast · Why deterministic real-time systems are more critical than ever in robotics Episode 245 of The Robot Report Podcast features Winston Leung, senior strategic alliances manager at QNX. Podcast guest: Winston Leung of QNX Winston Leung | Credit: QNX Leung is a seasoned innovation strategist with more than a decade of experience in both public and private sectors across North America and Asia. He has led initiatives in autonomous, connected, and electric vehicles, developed policies and strategies to support their adoption, and spearheaded Canada’s first connected vehicle testbed. He has also guided go-to-market strategies for transformative technologies, including quantum and 5G, collaborating with international stakeholders, influencing government policies, and driving startup success. By combining deep technical expertise with business strategy, Leung continues to shape the future of autonomous systems and robotics through impactful leadership and ...