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Ashis G. Banerjee

5 accepted papers

2023

F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving

IROS 2023poster

Bird's Eye View (BEV) representations are tremendously useful for perception-related automated driving tasks. However, generating BEVs from surround-view fisheye camera images is challenging due to the strong distortions introduced by such wide-angle lenses. We take the first step in addressing this…

Cited by 11SourcecodeScholar
2021

Visual Object Recognition in Indoor Environments Using Topologically Persistent Features

RA-L 2021

Object recognition in unseen indoor environments remains a challenging problem for visual perception of mobile robots. In this letter, we propose the use of topologically persistent features, which rely on the objects’ shape information, to address this challenge. In particular, we extract two kinds

Cited by 15SourcecodeScholar
2019

An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures

RA-L 2019

Efficient utilization of cooperating robots in the assembly of aircraft structures relies on balancing the workload of the robots and ensuring collision-free scheduling. We cast this problem as that of allocating a large number of repetitive assembly tasks, such as drilling holes and installing fast

Cited by 52SourceScholar
2019

Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

RA-L 2019

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. We present a foundational paradigm to address this challenge by formulating the problem as

Cited by 28SourcecodeScholar
2018

Auction Bidding Methods for Multiagent Consensus Optimization in Supply-Demand Networks

RA-L 2018

Multiagent systems are characterized by decentralized decision-making by the (semi)autonomous agents and localized communication or information exchange among the neighboring agents. Supply–demand networks form the backbones of both services and manufacturing industries, and need to operate as effic

Cited by 5SourceScholar