News & Research

This paper presents NAVBOT25, a labelled dataset aimed at strengthening the overall security of autonomous robots against network-based cyber threats within the Robot Operating System (ROS) platform. NAVBOT25 offers a comprehensive, labelled dataset that captures both normal operational behaviour and a variety of attack scenarios relevant to ROS-based systems. This dataset was generated by deploying a TurtleBot3 running ROS Noetic in controlled laboratory setting, where real-world attack vectors were executed —including SSH brute-force attempts, reverse shells, port scans, and ROS-specific attacks such as unauthorized publishing actions and topic flooding. Network traffic was captured using tcpdump, and 83 flow-level features were extracted using CICFlowMeter, resulting in a series of CSV files. Designed to support the development of AI-assisted intrusion detection systems, NAVBOT25 addresses existing gaps in robotic cybersecurity research by providing a richer and more diverse dataset for evaluating threat detection in networked robotic systems.

Diffusion-based reinforcement learning dem effectiveness of the proposed algorithm is validated through simulations on the MuJoCo platform and experiments on a physical robotic platform. The relevant code for this study is publicly available on GitHub: https://github.com/zhn-ya/diffusion-RL.

The rapid growth of robotics and embedded system technologies has increased the need for intelligent and userfriendly robotic systems. Conventional robot control methods such as remote controls, keyboards, and programmed instructions often make human-robot interaction difficult and less efficient. To overcome these limitations, this project proposes the design and development of a Voice Controlled Humanoid Robot that can understand human voice commands and perform corresponding actions.The proposed system uses speech recognition technology to convert voice commands into digital signals. These commands are transmitted through Bluetooth communication to a microcontroller such as Arduino or ESP32, which processes the commands and controls servo motors through a motor driver circuit. Based on the received instructions, the humanoid robot performs movements such as walking, turning, hand movements, and other predefined actions.The main objective of this project is to create a simple, low-cost, and efficient robotic system that improves natural communication between humans and robots. The system provides hands-free robot control, making it suitable for educational purposes, assistive technologies, automation systems, and future smart robotic applications. The project demonstrates the practical implementation of embedded systems, wireless communication, and voice recognition technologies in humanoid robotics.

Archives for July 2026 ... You'll have fewer robot floor cleaners to choose from and higher prices. ... Watch 1X's NEO robot try out a new pair of dexterous hands.

Unitree is not the first humanoid robot company to go public. UBTech took that title on the Hong Kong main board in December 2023, and its ...

... new robot from Xpeng with a walk almost indistinguishable from a human's. ... They will start mass production in 2026. 79 upvotes · 49 ...

What is an autonomous mobile robot (AMR)?.

India is emerging as a robotics investment nation with RoshAi, Vikra Ocean, Stridar and AutoRobotics Studio. As is Ireland with Manna Air ...