This paper introduces a real-time control framework for wireless bioelectronics in biohybrid robots, addressing challenges in latency, multi-actuator coordination, and channel variability. It presents innovations in adaptive frequency-division multiplexing, predictive time-division scheduling, and closed-loop latency optimization, benchmarked against four baseline methods.
Key findings
The proposed framework demonstrated robust performance across varying actuator counts and interference conditions.
Adaptive Frequency-Division Multiplexing (AFDM) and Predictive Time-Division Scheduling showed superior adaptability to real-time channel conditions.
Closed-Loop Latency Optimization provided real-time performance guarantees essential for safety-critical applications.
Limitations & open questions
The study's scalability analysis was limited to a maximum of 16 actuators.
The robustness evaluation did not account for all possible biological and environmental variables.