Ashis G. Banerjee

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Object Recognition

Risk Assessment

Indoor Environments

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans. Robotics

Robotics Comput. Integr. Manuf.

Publications

Tommy Zhang, Nicole Werner, Ashis G. Banerjee
Toward Automated Formation of Composite Micro-Structures Using Holographic Optical Tweezers. CoRR (2024)
Xingjian Yang, Zhitao Yu, Ashis G. Banerjee
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices. CoRR (2024)
Anand Krishnan, Xingjian Yang, Utsav Seth, Jonathan M. Jeyachandran, Jonathan Y. Ahn, Richard Gardner, Samuel F. Pedigo, Adriana Blom-Schieber, Ashis G. Banerjee, Krithika Manohar
Data-Driven Ergonomic Risk Assessment of Complex Hand-intensive Manufacturing Processes. CoRR (2024)
Ekta U. Samani, Ashis G. Banerjee
Persistent Homology Meets Object Unity: Object Recognition in Clutter. IEEE Trans. Robotics 40 (2024)
Alberto Badías, Ashis G. Banerjee
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Benjamin Wong, Wade Marquette, Nikolay Bykov, Tyler M. Paine, Ashis G. Banerjee
Human-assisted robotic detection of foreign object debris inside confined spaces of marine vessels using probabilistic mapping. Robotics Auton. Syst. 161 (2023)
Ekta U. Samani, Feng Tao, Dasari Harshavardhan Reddy, Sihao Ding, Ashis G. Banerjee
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving. CoRR (2023)
Ekta U. Samani, Ashis G. Banerjee
Persistent Homology Meets Object Unity: Object Recognition in Clutter. CoRR (2023)
Christopher Salazar, Ashis G. Banerjee
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting. CoRR (2023)
Ekta U. Samani, Ashis G. Banerjee
Human-Inspired Topological Representations for Visual Object Recognition in Unseen Environments. CoRR (2023)
Benjamin Wong, Tyler M. Paine, Santosh Devasia, Ashis G. Banerjee
Active Anomaly Detection in Confined Spaces Using Ergodic Traversal of Directed Region Graphs. CoRR (2023)
Ekta U. Samani, Feng Tao, Dasari Harshavardhan Reddy, Sihao Ding, Ashis G. Banerjee
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving. IROS (2023)
Wei Guo, Ruqian Chen, Yen-Chi Chen, Ashis G. Banerjee
Efficient Community Detection in Large-Scale Dynamic Networks Using Topological Data Analysis. CoRR (2022)
Jundi Liu, Linda Ng Boyle, Ashis G. Banerjee
An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems. IEEE Trans. Veh. Technol. 71 (9) (2022)
Steven Hwang, Ashis G. Banerjee, Linda Ng Boyle
Predicting Driver's Transition Time to a Secondary Task Given an in-Vehicle Alert. IEEE Trans. Intell. Transp. Syst. 23 (5) (2022)
Ekta U. Samani, Ashis G. Banerjee
Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments. CoRR (2022)
Benjamin Wong, Wade Marquette, Nikolay Bykov, Tyler M. Paine, Ashis G. Banerjee
Human-Assisted Robotic Detection of Foreign Object Debris Inside Confined Spaces of Marine Vessels Using Probabilistic Mapping. CoRR (2022)
Veniamin Tereshchuk, Nikolay Bykov, Samuel Pedigo, Santosh Devasia, Ashis G. Banerjee
A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints. Robotics Comput. Integr. Manuf. 71 (2021)
Ekta U. Samani, Xingjian Yang, Ashis G. Banerjee
Visual Object Recognition in Indoor Environments Using Topologically Persistent Features. IEEE Robotics Autom. Lett. 6 (4) (2021)
Behnoosh Parsa, Ashis G. Banerjee
A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment. WACV (2021)
Zhanlin Liu, Ashis G. Banerjee, Youngjun Choe
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Jundi Liu, Steven Hwang, Walter Yund, Joel D. Neidig, Scott M. Hartford, Linda Ng Boyle, Ashis G. Banerjee
A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems. J. Comput. Inf. Sci. Eng. 20 (3) (2020)
Ekta U. Samani, Xingjian Yang, Ashis G. Banerjee
Vision-Based Object Recognition in Indoor Environments Using Topologically Persistent Features. CoRR (2020)
Behnoosh Parsa, Ashis G. Banerjee
A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment. CoRR (2020)
Behnoosh Parsa, Ekta U. Samani, Rose Hendrix, Cameron Devine, Shashi M. Singh, Santosh Devasia, Ashis G. Banerjee
Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks. IEEE Robotics Autom. Lett. 4 (4) (2019)
Veniamin Tereshchuk, John Stewart, Nikolay Bykov, Samuel Pedigo, Santosh Devasia, Ashis G. Banerjee
An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures. CoRR (2019)
Behnoosh Parsa, Ekta U. Samani, Rose Hendrix, Shashi M. Singh, Santosh Devasia, Ashis G. Banerjee
Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks. CoRR (2019)
Veniamin Tereshchuk, John Stewart, Nikolay Bykov, Samuel Pedigo, Santosh Devasia, Ashis G. Banerjee
An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures. IEEE Robotics Autom. Lett. 4 (4) (2019)
Ekta U. Samani, Wei Guo, Ashis G. Banerjee
Deep Learning-Based Semantic Segmentation of Microscale Objects. CoRR (2019)
Niyousha Rahimi, Jundi Liu, Andrey Shishkarev, Ilya Buzytsky, Ashis G. Banerjee
Auction Bidding Methods for Multiagent Consensus Optimization in Supply-Demand Networks. IEEE Robotics Autom. Lett. 3 (4) (2018)