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Southern California AI and Robotics Symposium 2025

October 29–30, 2025 | California State Polytechnic University, Pomona, CA

About the Symposium

The Southern California AI and Robotics Symposium 2025 (SCAIR25) brings together leading researchers, industry professionals, and students to explore the latest advancements in artificial intelligence and robotics. This two-day event features keynote speeches, technical sessions, workshops, and networking opportunities.

SCAIR 2025 is hosted by California State Polytechnic University, Pomona, CA this year.

This symposium, previously, was held under the name: "Southern California Robotics Symposium" by the following institutions: This year, in light of recent advancements and expanded applications in the field of artificial intelligence, our focus is on AI-driven robotics, with particular emphasis on unmanned aerial vehicle (UAV) applications and quantum robotics. We also welcome submissions from researchers presenting recent work in other areas of robotics and AI applications.

Schedule Overview

Day 1: October 29, 2025

Day 2: October 30, 2025

SCAIR 2025 – Poster Presentation Schedule

Wednesday, October 29 Thursday, October 30
  • Jonathan Setiabudi, Ruoshen Mo, “LLM And RLA Integration In Autonomous Driving Through Bias Alteration”
  • Huaze Liu, Adyasha Mohanty, “Conformal Prediction for Reliable Test-Time Uncertainty in Robotic Vision”
  • Viet Nguyen, Abhishek Vishwakarma, Purva Vijayvargiya, Nathan Lee, Mohammad Husain, “Image Scaling and Network Attacks on Self-Driving Car Platforms: Vulnerabilities in Autonomous Vehicle Perception Systems”
  • Josiah Wiggins, Aman Adhikari, Sedat Ozer, “Automated Detection of Laundry-Care Symbols for Vision-Based Smart Home Robotics”
  • Yifan Wu, “An ADMM-based Deep Unrolling Network for Wideband Source Localization”
  • Theo Rode, Rui Zhang, Ryan Aubrey, Olivia Li, Jessica Huang, Liv Chu, Healani Dowd, Calden Wloka, “Depth Anyviewpoint? Evaluating Monocular Depth Over Viewpoint Sequences”
  • Christopher Beauchamp, Bin Tang, “Energy-Efficient Data Collection in Robotic Sensor Networks”
  • Jaemin Kim, Behnam Bahr, “Simulation and Testing of Autonomous Vehicle with Simultaneous Localization and Mapping”
  • Yenny Ma, Kevin Beltran, Fahim Hasan Khan, “AI-Powered Accessibility Mapping: A Citizen Science Approach for Inclusive Public Spaces”
  • Scott Boskovich, “Using a Modified BOIDS Algorithm as a Prototype Rulebase to Support a Multiagent Coordinated, Cooperative and Collaborative Calculus”
  • Benjamin Villa, Valerio Formicola, “From Concept to Road: Building an Electric Van with Embedded Telemetry and Diagnostics for System Resilience and Cybersecurity”
  • Chris Parks, Ryan Houston, Rachel Gossard, Jordan Ritchie, Farbod Khoshnoud, “BillyBot: Autonomous AI Campus Tour Guide”
  • Nithyasri Palanisamy, Fahim Hasan Khan, “Augmented Reality Application for Real-Time Coastal Data Visualization”
  • Justin Sov, Valerio Formicola, “Hybrid Edge–Cloud Computing Framework for Resilient Telemetry: A Case Study from Formula SAE”
  • Ethan Hong, Federico T. Parres, Dennis Hong, “Food Angel 2.0: From Wheels to Legs — An Empathy-Driven Hexapod for Food Delivery on Rough Urban Terrain”
  • Marilyn Ma, Rui Zhang, Steven Tran, Nicolas Riley, Liv Chu, Healani Dowd, Calden Wloka, “A New Dataset to Test the Effect of Image Capture Conditions on Model Robustness”
  • Kai Xue, Viet Nguyen, Nathan Lee, Mohammad Husain, “Cyber Security Evaluation of SPOT Robot Dog/UGV Platform”
  • Huaze Liu, Zihao Gao, Adyasha Mohanty, “Language-Driven Semantic Change Detection in Urban Maps via Multi-Modal Deep Learning”
  • Rick Ramirez, David Espana, Tirth S. Thakkar, Damian Kryzia, Mozammal Chowdhury, Amar Raheja, Subodh Bhandari, “Simultaneous Localization and Mapping Using Sensor Fusion for UAV Navigation in GPS-Denied Environments”
  • Aspen Knox, Mohammadparsa Ghasemi, “Simplified Multimodal Imitation Learning for Day–Night Autonomous Driving”
  • Aivie Quinto, Antony-Mina Makar, Tamer Omar, “Data Acquisition and Machine Learning Design for a Liquid Rocket Engine Test Stand”
  • Subodh Bhandari, Amar Raheja, Bhargava Ram Malladi, Dennis Uryeu, “Autonomous Coordination Between UAVs and UGVs for Precision Farming”
  • Arian Ahmadi, Max Shirazi, “Deep Learning for Delay Minimization in Edge Computing Networks”
  • Beverly Abadines Quon, “Multimodal Learning for Applications in Robotics”
  • Danzel Yap, Siddharth Banerjee, “Artificial Intelligence Applications in Construction”

Featured Speakers

Venue

Kellogg West Conference Center & Hotel, California State Polytechnic University, Pomona
Please see the directions. Address: 3801 W. Temple Avenue, Building 76, Pomona, CA 91768

Parking information

Parking is free at Kellogg West Hotel's parking lot. However, on each event day, you must register your car's place at this link: Register your car here.

Registration

Registration Link: Click here to register.

Early Bird (Before the October 25, 2025):

Regular (After October 25, 2025):

Call for Papers, Focus Theme: AI-Driven Robotics

This year’s symposium invites submissions highlighting recent advancements in AI-driven robotics, with a special emphasis on applications involving unmanned aerial vehicles (UAVs) and quantum robotics.

We particularly encourage contributions that explore innovative uses of artificial intelligence in robotic perception, control, path-planning and decision-making.

Submissions addressing other emerging areas of robotics and AI applications are also welcome Download the leaflet version of CFP.

Submission Deadline: October 20, 2025
Notification of Acceptance: Notifications will be sent in two parts. All earlier submissions will receive notification via email by October 18, 2025, while the remaining submissions will be notified by October 21, 2025.

Submission Types

Deadline for all type of submissions: October 20, 2025
Submit your abstract here: https://cmt3.research.microsoft.com/SCAIR2025

Sponsors / Supporting Groups

Organizing Committee

Contact Us

Email: sozer@cpp.edu

Student volunteer application form: apply here (if this link does not work on your web browser, copy the link and paste it in a new window manually).