27 citations · 31 across the 9 of their papers we have counts for
9 papers
Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
Meng Zheng, Samhita Marri, Anwesa Choudhuri +6
Vision-language-action (VLA) models provide a promising paradigm for scalable robotic manipulation, yet their reliance on success-only behavioral cloning leaves them brittle; lacki…
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan +10
Time series forecasting at scale presents significant challenges for modern prediction systems, particularly when dealing with large sets of synchronized series, such as in a globa…
Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges
Althaf Shajihan, Kirill Mechitov, Girish Chowdhary +1
Railroad bridges are a crucial component of the U.S. freight rail system, which moves over 40 percent of the nation's freight and plays a critical role in the economy. However, agi…
Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception
Kendall Koe, Poojan Kalpeshbhai Shah, Benjamin Walt +7
Due to labor shortages in specialty crop industries, a need for robotic automation to increase agricultural efficiency and productivity has arisen. Previous manipulation systems pe…
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
Jiarui Sun, M. Ugur Akcal, Wei Zhang +1
In visual Reinforcement Learning (RL), learning from pixel-based observations poses significant challenges on sample efficiency, primarily due to the complexity of extracting infor…
PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer
Samhita Marri, Arun N. Sivakumar, Naveen K. Uppalapati +1
Tracking plant features is crucial for various agricultural tasks like phenotyping, pruning, or harvesting, but the unstructured, cluttered, and deformable nature of plant environm…
Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
Md. Toukir Ahmed, Md Wadud Ahmed, Ocean Monjur +3
As the demand for food surges and the agricultural sector undergoes a transformative shift towards sustainability and efficiency, the need for precise and proactive measures to ens…
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods
Junchen Deng, Samhita Marri, Jonathan Klein +4
Robotic harvesting has the potential to positively impact agricultural productivity, reduce costs, improve food quality, enhance sustainability, and to address labor shortage. In t…
Revealing the Power of Masked Autoencoders in Traffic Forecasting
Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh +2
Traffic forecasting, crucial for urban planning, requires accurate predictions of spatial-temporal traffic patterns across urban areas. Existing research mainly focuses on designin…