no code implementations • 15 Sep 2023 • Ekta U. Samani, Ashis G. Banerjee
Visual object recognition in unseen and cluttered indoor environments is a challenging problem for mobile robots.
1 code implementation • 5 May 2023 • Ekta U. Samani, Ashis G. Banerjee
Recognition of occluded objects in unseen and unstructured indoor environments is a challenging problem for mobile robots.
1 code implementation • 7 Mar 2023 • Ekta U. Samani, Feng Tao, Harshavardhan R. Dasari, Sihao Ding, Ashis G. Banerjee
We take the first step in addressing this challenge and introduce a baseline, F2BEV, to generate discretized BEV height maps and BEV semantic segmentation maps from fisheye images.
no code implementations • 16 May 2022 • Ekta U. Samani, Ashis G. Banerjee
Recognition of occluded objects in unseen indoor environments is a challenging problem for mobile robots.
1 code implementation • 7 Oct 2020 • Ekta U. Samani, Xingjian Yang, Ashis G. Banerjee
For performance evaluation, in addition to a widely used shape dataset and a benchmark indoor scenes dataset, we collect a new dataset, comprising scene images from two different environments, namely, a living room and a mock warehouse.
1 code implementation • 3 Jul 2019 • Ekta U. Samani, Wei Guo, Ashis G. Banerjee
Accurate estimation of the positions and shapes of microscale objects is crucial for automated imaging-guided manipulation using a non-contact technique such as optical tweezers.
1 code implementation • 14 Feb 2019 • Behnoosh Parsa, Ekta U. Samani, Rose Hendrix, Cameron Devine, Shashi M. Singh, Santosh Devasia, Ashis G. Banerjee
Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics and manufacturing applications.