This paper introduces a novel algorithmic framework that adapts Monte Carlo Counterfactual Regret Minimization (MCCFR) to real-time robotic decision-making in dynamic, imperfect-information scenarios. By integrating incremental tree search and targeted sampling, our method enables autonomous agents-such as multi-robot systems operating under partial observability-to compute near-equilibrium strategies online with limited computational resources. We demonstrate the approach's convergence guarantees in simulation-based adversarial settings, where robotic agents must conceal private sensor data while inferring opponent intent. Experimental results in simulated tactical pursuit-evasion and distributed resource competition games confirm that our algorithm reduces exploitability over time and outperforms existing imperfect-information search methods, providing a principled foundation for robust robotic interaction under uncertainty.

Electrical impedance analysis offers a non-invasive approach to assess the density and composition of various materials. This research presents the development of a portable bio-impedance tomography system utilizing the AD5933 integrated circuit, designed for measuring complex impedance. By employing multiple electrode pairs, the system creates twodimensional (2D) tomographic images, interfacing seamlessly with the human body through an analog front end and Bluetooth Low Energy (BLE) for real-time wireless data transmission. The platform, designed to be mobile and user-friendly, enables advanced bio-impedance measurements, laying a foundation for future applications in healthcare and wearable technology.

This study proposes an adaptive foldable mechanism inspired by avian limb biomechanics to enhance bipedal gait dynamics in robotic systems. The design integrates a five-bar foldable linkage [1] with compliant joints, aiming to improve terrain adaptability, energy efficiency, and stride variability. While initial simulations using the MuJoCo physics engine suggest potential for energy-efficient locomotion and improved gait dynamics, detailed validation through hardware experiments is ongoing. A static prototype has been developed to study mechanical feasibility , and system parameters such as joint stiffness, mass distribution , and control inputs are being characterized. This work lays the foundation for future implementation and comparative analysis with rigid-link bipedal systems. Applications include humanoid robotics, prosthetics, and assistive exoskeletons.