4 citations · 7 across the 5 of their papers we have counts for
6 papers
Show, Don't Tell: Detecting Novel Objects by Watching Human Videos
James Akl, Jose Nicolas Avendano Arbelaez, James Barabas +16
How can a robot quickly identify and recognize new objects shown to it during a human demonstration? Existing closed-set object detectors frequently fail at this because the object…
ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation
Hongyu Li, James Akl, Srinath Sridhar +2
Object 6D pose estimation is a critical challenge in robotics, particularly for manipulation tasks. While prior research combining visual and tactile (visuotactile) information has…
Vision-based Oxy-fuel Torch Control for Robotic Metal Cutting
James Akl, Yash Patil, Chinmay Todankar +1
The automation of key processes in metal cutting would substantially benefit many industries such as manufacturing and metal recycling. We present a vision-based control scheme for…
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Dina Bashkirova, Samarth Mishra, Diala Lteif +16
Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sortin…
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu +7
Less than 35% of recyclable waste is being actually recycled in the US, which leads to increased soil and sea pollution and is one of the major concerns of environmental researcher…
ECNNs: Ensemble Learning Methods for Improving Planar Grasp Quality Estimation
Fadi Alladkani, James Akl, Berk Calli
We present an ensemble learning methodology that combines multiple existing robotic grasp synthesis algorithms and obtain a success rate that is significantly better than the indiv…