13 citations · 35 across the 8 of their papers we have counts for
15 papers
Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration
Tan Chen, Zhe Huang, James Motes +13
Significant progress in robotics reveals new opportunities to advance manufacturing. Next-generation industrial automation will require both integration of distinct robotic technol…
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary +1
Despite the rapid advancement of navigation algorithms, mobile robots often produce anomalous behaviors that can lead to navigation failures. The ability to detect such anomalous b…
Building Mental Models through Preview of Autopilot Behaviors
Yuan Shen, Niviru Wijayaratne, Katherine Driggs-Campbell
Effective human-vehicle collaboration requires an appropriate un-derstanding of vehicle behavior for safety and trust. Improvingon our prior work by adding a future prediction modu…
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary +1
To achieve high-levels of autonomy, modern robots require the ability to detect and recover from anomalies and failures with minimal human supervision. Multi-modal sensor signals c…
Monte-Carlo Tree Search for Policy Optimization
Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang +1
Gradient-based methods are often used for policy optimization in deep reinforcement learning, despite being vulnerable to local optima and saddle points. Although gradient-free met…
Online monitoring for safe pedestrian-vehicle interactions
Peter Du, Zhe Huang, Tianqi Liu +5
As autonomous systems begin to operate amongst humans, methods for safe interaction must be investigated. We consider an example of a small autonomous vehicle in a pedestrian zone…