Caleb Escobedo
Caleb Escobedo
PhD Student

About Me

I am interested in leveraging AI to automate physical tasks, reduce work burden, and identify novel approaches to solving common problems. My research currently focuses on utilizing multi-agent reinforcement learning to enable robot-human collaboration. In addition to robot-human interaction, I am currently researching robotic tactile sensing methods that will enable robots to learn through touch. We hope that advancements in robotic skin will increased dexterity and safety in complex environments.

I lived in San Antonio, Texas until I started college at the University of Wisconsin - Madison in 2013. Due to unforeseen circumstances as an undergrad I withdrew for two semesters to have back surgery and work as a warehouse manager at UPS. After a year, I transferred to Trinity University in San Antonio where I finished my undergraduate degree in Computer Science.

In my spare time I enjoy playing board games, being outdoors, and spending time with family and friends. I’ve recently been searching for plants to furnish my house and office space on the weekends.


2022 IEEE/RSJ International Conference on Intelligent Robots and Systems [IROS]

Kyoto, Japan, October 23-27

A Framework for the Systematic Evaluation of Obstacle Avoidance and Object-Aware Controllers [PDF] [BIB]

Caleb Escobedo, Nataliya Nechyporenko, Shreyas Kadekodi, Alessandro Roncone

2021 4th Workshop on Proximity Perception in Robotics at IROS 2021

Prague, Czech Republic, September 27

Volumetric Data Fusion of External Depth and Onboard Proximity Data For Occluded Space Reduction [PDF] [BIB]

Matthew Strong, Caleb Escobedo, Alessandro Roncone

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems [IROS]

Prague, Czech Republic, September 27-October 1

Contact Anticipation for Physical Human-Robot Interaction with Robotic Manipulators using Onboard Proximity Sensors [PDF] [BIB]

Caleb Escobedo, Matthew Strong, Mary West, Ander Aramburu, Alessandro Roncone

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems [IROS]

Prague, Czech Republic, September 27-October 1

Self-Contained Kinematic Calibration of a Novel Whole-Body Artificial Skin for Human-Robot Collaboration [PDF] [BIB]

Kandai Watanabe, Matthew Strong, Mary West, Caleb Escobedo, Ander Aramburu, Krishna Chaitanya Kodur, Alessandro Roncone

B.S. Thesis

Trinity University

Musical Style Transfer in a Symbolic Domain

Caleb Escobedo


Bachelor of Science in Computer Science

My senior thesis was titled "Musical Style Transfer in a Symbolic Domain", advised by Matthew Hibbs.


Aug 2019 - Present

Boulder, CO, United States

Graduate Research Assistant

University of Colorado Boulder
I perform robotics research in the HIRO and ARPG Labs focusing on reinforcement learning and tactile sensing.

Dec 2017 - May 2019

San Antonio, TX, United States

Software Developer

I developed C++ libraries for 3D camera, calibration, biometric fraud detection, and feature extraction.

May 2018 - Jul 2019

San Antonio, TX, United States

Undergraduate Researcher

Trinity University
Implemented Optimistic Adam, a type of Optimistic Mirror Decent in PyTorch, and was compared output of unpaired image style transfer using Adam and Optimistic Adam


Aug 2018 - Dec 2018

San Antonio, TX, United States

Teaching Assistant

Trinity University
I was a teaching assistant for two classes, Algorithms and Data Abstraction. While in this position I held office hours, evaluated student performance, and gave C++ demonstrations.