Peter Du — accepted AI-conference papers

2024

W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics

Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus Valverde Gasparino, Girish Chowdhary, Katherine Rose Driggs-Campbell

RA-L 2024

Successful deployment of mobile robots in unstructured domains requires an understanding of the environment and terrain to avoid hazardous areas, getting stuck, and colliding with obstacles. Traversability estimation–which predicts where in the environment a robot can travel–is one prominent approac

Cited by 6 Source ↗code ↗Scholar ↗

2021

Adaptive Failure Search Using Critical States from Domain Experts

Peter Du, Katherine Driggs-Campbell

ICRA 2021poster

Uncovering potential failure cases is a crucial step in the validation of safety critical systems such as autonomous vehicles. Failure search may be done through logging substantial vehicle miles in either simulation or real world testing. Due to the sparsity of failure events, naive random search a…

Cited by 10 Source ↗Scholar ↗

2020

CyPhyHouse: A programming, simulation, and deployment toolchain for heterogeneous distributed coordination

Ritwika Ghosh, Joao P. Jansch-Porto, Chiao Hsieh, Amelia Gosse, Minghao Jiang, Hebron Taylor +3

ICRA 2020poster

Programming languages, libraries, and development tools have transformed the application development processes for mobile computing and machine learning. This paper introduces CyPhyHouse—a toolchain that aims to provide similar programming, debugging, and deployment benefits for distributed mobile r…

Cited by 15 Source ↗Scholar ↗