Procedural Terrain Generation for Robotics Simulation and Machine Learning
These terrain generators were initially developed for the AWS JPL (yes, that Jet Propulsion Laboratory) Open Source Rover Challenge. This was a virtual hackathon that challenged contestants to improve how rovers on Mars may operate on the unpredictable terrain.
This design is a fully-procedural particle system that can:
This was later repurposed to act as an environment generator for office enviroments as well.
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This design is a fully-procedural particle system that can:
- distort the surface
- scatter obstacles of varying complexity, size, and frequency
- dynamically set the rover origin point to a flat, transitional surface
This was later repurposed to act as an environment generator for office enviroments as well.
PROTOTYPES & PRODUCTS
Industrial
- Virtual Remote Auditing for GxP Compliance
- CV/ML Detection of Product Defects in Aluminum Manufacturing with Fully-Synthetic Data
- Agricultural Cost Center Business Intelligence for IoT-equipped Farms
- Realtime Inventory Forecasting for Just-in-Time Manufacturing
- Supply Chain Weakness Dashboards for Agricultural Logistics
- Municipal Infrastructure Prediction and Planning Tools
- Disaster Risk Monitoring Search Interfaces for Restoration Contractors
Consumer
- VUIs for Drive Thru Restaurants
- Consumer Care Care Subscription Services
- Interactive Journalism
- Virtual Doping Detection for Physical E-Sports
- Online Learning for First-Time Homebuyers
Business
- VUI Design for Clinical Trials and Medication Adherence
- Distributed Consumables Procurement for Container Shipping
- Connected Devices for C-Store Cleanliness Monitoring and Task Management
- Predictive Fleet Vehicle Maintenance for SMBs
- Intelligent Damage Detection for Rental Vehicles
- Hybrid UIs for Realtime Customer Service Analytics
BIO
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My résumé is best seen on LinkedIn. Otherwise, you can reach me via this contact form. I am currently the Head of Design for PanasonicWELL, a US-based R&D group working at the intersection of connected devices, families, and wellness.
Most recently served as Principal Design Technologist for AWS Prototyping & Cloud Engineering in NYC from 2019 - 2023. I designed and built human-centric prototypes that employ Artificial Intelligence, Machine Learning, Robotics, Internet of Things, and Spatial Computing. Previously a UX Director for start-ups and digital creative advertising.
Organizations I’ve worked with include: NASA/JPL, Wendy's, The NBA, Better.com, The Ad Council, Discovery Channel, Disney, Comcast, and John Deere - to name a few.
Most recently served as Principal Design Technologist for AWS Prototyping & Cloud Engineering in NYC from 2019 - 2023. I designed and built human-centric prototypes that employ Artificial Intelligence, Machine Learning, Robotics, Internet of Things, and Spatial Computing. Previously a UX Director for start-ups and digital creative advertising.
Organizations I’ve worked with include: NASA/JPL, Wendy's, The NBA, Better.com, The Ad Council, Discovery Channel, Disney, Comcast, and John Deere - to name a few.
©MMXXI
Design is done when there is nothing left to take away.