Leszek Siwik, Ph.D, DS.C

Status: Under Realization

This project focuses on developing embodied and cognitive AI agents capable of understanding context, intent, and mission goals in cooperative astronaut–robot workflows. Research areas include adaptive mission execution, multimodal comprehension, avatar-based interaction behaviors, and socially-aware collaboration patterns. The objective is to enable humanoid and non-humanoid robotic systems to function as intuitive and reliable teammates during long-duration missions.

Status: Under Realization

This project investigates autonomous coordination among multiple embodied robots deployed in orbital and planetary environments. We design decentralized communication frameworks, consensus mechanisms, and optimization strategies for collective behaviors such as inspection, logistics, maintenance, and repair. The project also examines scalable collaboration models for autonomous robot teams and hybrid human–robot groups.

Status: Under Realization

This project develops systems for real-time monitoring of astronauts’ physiological, behavioral, and emotional states. We integrate multimodal sensor data with AI-driven analytics to assess fatigue, cognitive load, stress, and psychological resilience. The research also includes predictive modeling and conversational agents capable of providing personalized emotional support in isolated, long-duration missions.

Status: Under Realization

This project explores emotionally intelligent interactions between humans and embodied AI systems. We develop expressive avatars, personalized communication styles, and social-memory mechanisms that support long-term relational continuity. The goal is to enhance psychological comfort, mission cohesion, and emotional resilience during deep-space missions.

Status: Under Realization

This project focuses on intuitive, multimodal interfaces for human–robot collaboration. Research topics include gesture, gaze, spatial cues, tactile communication, non-verbal signaling, shared situational awareness, and robot–robot coordination protocols. The aim is to create communication frameworks where robots can naturally convey intent, uncertainty, and state information in dynamic environments.

Status: Under Realization

The project is focused on robust, low-latency and ultra-low-power AI systems — including AI-on-chip and neuromorphic approaches for lightweight onboard reasoning under severe power, bandwidth, and computational constraints allowing spacecraft, orbital platforms, and distributed space infrastructures to reason about threats, operate safely under uncertainty, and maintain mission continuity even when isolated from Earth or operating under a full communication blackout.

Status: Under Realization

This project addresses autonomous technical, logistical, and safety-critical operations under hazardous conditions such as depressurization, radiation, contamination, or mechanical instability. We develop AI systems capable of independent task execution, anomaly detection, contingency planning, and real-time decision-making with minimal ground support. The aim is to ensure operational stability and mission continuity in extreme and unpredictable environments.