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Constraint-aware expressive behavior design for social robotics.
Project Overview:
This work explores how micro-movements and timing variations can communicate internal cognitive states while remaining aligned with hardware constraints and real-time execution environments.
Sophia - Expressive Robotic Motion Systems
Sophia - Expressive Robotic Motion Systems
Constraint-aware expressive behavior design for social robotics.
Project Overview:
This work explores how micro-movements and timing variations can communicate internal cognitive states while remaining aligned with hardware constraints and real-time execution environments.
Expressive Processing States
Reactive Emotional ResponsesRapid Aversion Reflex

Reactive Emotional Responses
Layered Rejection Response

Cognitive Processing States
Evaluative Micro-Acknowledgment
Cognitive Processing States
Reflective Consideration State
Physiological State Transitions
Low-Energy Idle Drift
Physiological State Transitions
Activation Recovery Transition
Motion Stability & Constraint Correction
Refining motion capture data for actuator-safe robotic execution.
Refining motion capture data for actuator-safe robotic execution.
Raw motion capture streams frequently introduce signal noise, rotational discontinuities, and actuator-incompatible joint ranges.
This refinement study focuses on:
• Stabilizing micro-jitter
• Resolving joint flipping
• Recalibrating rotation hierarchies
• Aligning motion output with hardware-safe execution thresholds
The resulting data ensures kinematic continuity and downstream deployment readiness.
AI-driven Facial Prototyping
Rapid behavior iteration within virtual simulation environments prior to physical deployment.

Overview:
This exploration investigates AI-assisted facial animation workflows using NVIDIA Omniverse and Audio2Face to accelerate expressive behavior prototyping in a robotics pipeline.
This exploration investigates AI-assisted facial animation workflows using NVIDIA Omniverse and Audio2Face to accelerate expressive behavior prototyping in a robotics pipeline.
Core Focus:
Audio-to-Facial Mapping
Neural audio encoders and blendshape solvers translating speech signals into controllable facial parameters.
USD Iterative Workflow
Layer-based scene composition and non-destructive variant switching within Omniverse’s USD ecosystem.
Deployment Readiness Assessment
Evaluated motion stability, expressivity control, and actuator-safe behavior prior to hardware testing.
Immersive Virtual Environment Integration
AI-generated virtual environments composed with alpha-channel facial animation to prototype meditative interaction contexts.
Overview:
Generated ambient therapeutic environments (bamboo forest, interior meditation space) using generative video tools and composited with facial animation outputs to simulate guided meditation sessions.
Audio-to-Facial Mapping
Neural audio encoders and blendshape solvers translating speech signals into controllable facial parameters.
USD Iterative Workflow
Layer-based scene composition and non-destructive variant switching within Omniverse’s USD ecosystem.
Deployment Readiness Assessment
Evaluated motion stability, expressivity control, and actuator-safe behavior prior to hardware testing.
Immersive Virtual Environment Integration
AI-generated virtual environments composed with alpha-channel facial animation to prototype meditative interaction contexts.
Overview:
Generated ambient therapeutic environments (bamboo forest, interior meditation space) using generative video tools and composited with facial animation outputs to simulate guided meditation sessions.
Core Components:
Generative Environment Prototyping
Rapid atmospheric scene generation for behavioral context testing.
AI-Assisted Sound Design
Procedurally composed ambient soundscapes aligned with emotional pacing.
Alpha-based Compositing Pipeline
Integrated transparent facial animation renders into dynamic audiovisual environments.
Emotion-Scene Synchronization
Matched visual rhythm, lighting tone, and audio cadence with facial expressivity.
Public Activation
Live exhibition contexts, validating expressive clarity and audience perception in real-world settings.
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Generative Environment Prototyping
Rapid atmospheric scene generation for behavioral context testing.
AI-Assisted Sound Design
Procedurally composed ambient soundscapes aligned with emotional pacing.
Alpha-based Compositing Pipeline
Integrated transparent facial animation renders into dynamic audiovisual environments.
Emotion-Scene Synchronization
Matched visual rhythm, lighting tone, and audio cadence with facial expressivity.
Public Activation
Live exhibition contexts, validating expressive clarity and audience perception in real-world settings.

