activity
20202026
most citedHallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art

37 citations · 101 across the 38 of their papers we have counts for

collaborators
Showing 2023Show all

11 papers · 1 filter

cs.RO2023

An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation

Andre Schreiber, Tianchen Ji, D. Livingston McPherson +1

The use of mobile robots in unstructured environments like the agricultural field is becoming increasingly common. The ability for such field robots to proactively identify and avo…

cs.RO2023★ 1 cited

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks

Haonan Chen, Yilong Niu, Kaiwen Hong +4

Stowing, the task of placing objects in cluttered shelves or bins, is a common task in warehouse and manufacturing operations. However, this task is still predominantly carried out…

cs.LG2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems

Aamir Hasan, Neeloy Chakraborty, Haonan Chen +3

Intelligent driving systems can be used to mitigate congestion through simple actions, thus improving many socioeconomic factors such as commute time and gas costs. However, these…

cs.RO2023★ 22 cited

DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

Shuijing Liu, Aamir Hasan, Kaiwen Hong +7

Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provi…

cs.RO2023★ 1 cited

Dynamic-Resolution Model Learning for Object Pile Manipulation

Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell +2

Dynamics models learned from visual observations have shown to be effective in various robotic manipulation tasks. One of the key questions for learning such dynamics models is wha…

cs.RO2023★ 1 cited

Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries

Peter Du, Surya Murthy, Katherine Driggs-Campbell

As advances in artificial intelligence enable increasingly capable learning-based autonomous agents, it becomes more challenging for human observers to efficiently construct a ment…

cs.RO2023

Adaptive Failure Search Using Critical States from Domain Experts

Peter Du, Katherine Driggs-Campbell

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 substantia…

cs.RO2023★ 7 cited

Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection

Neeloy Chakraborty, Aamir Hasan, Shuijing Liu +4

In autonomous driving, detection of abnormal driving behaviors is essential to ensure the safety of vehicle controllers. Prior works in vehicle anomaly detection have shown that mo…

cs.RO2023

Designing a Wayfinding Robot for People with Visual Impairments

Shuijing Liu, Aamir Hasan, Kaiwen Hong +6

People with visual impairments (PwVI) often have difficulties navigating through unfamiliar indoor environments. However, current wayfinding tools are fairly limited. In this short…

cs.LG2023

Towards Co-operative Congestion Mitigation

Aamir Hasan, Neeloy Chakraborty, Cathy Wu +1

The effects of traffic congestion are widespread and are an impedance to everyday life. Piecewise constant driving policies have shown promise in helping mitigate traffic congestio…

cs.RO2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots

Peixin Chang, Shuijing Liu, Tianchen Ji +3

A command-following robot that serves people in everyday life must continually improve itself in deployment domains with minimal help from its end users, instead of engineers. Prev…