A Step Towards Automated Design of Side Actions in Injection Molding of Complex Parts. - Ashis Gopal Banerjee; Satyandra K. Gupta (GMP, 2006)

Geometrical algorithms for automated design of side actions in injection moulding of complex parts. - Ashis Gopal Banerjee; Satyandra K. Gupta (Comput. Aided Des., 2007)

Content-based assembly search: A step towards assembly reuse. - Abhijit Deshmukh; Ashis Gopal Banerjee; Satyandra K. Gupta; Ram D. Sriram (Comput. Aided Des., 2008)

A survey of CAD model simplification techniques for physics-based simulation applications. - Atul Thakur; Ashis Gopal Banerjee; Satyandra K. Gupta (Comput. Aided Des., 2009)

Generating Simplified Trapping Probability Models From Simulation of Optical Tweezers System. - Ashis Gopal Banerjee; Arvind Balijepalli; Satyandra K. Gupta; Thomas W. Lebrun (J. Comput. Inf. Sci. Eng., 2009)

Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations. - Ashis Gopal Banerjee; Andrew Pomerance; Wolfgang Losert; Satyandra K. Gupta (IEEE Trans Autom. Sci. Eng., 2010)

Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. - Stefanie Tellex; Thomas Kollar; Steven Dickerson; Matthew R. Walter; Ashis Gopal Banerjee; Seth J. Teller; Nicholas Roy (AAAI, 2011)

Regression-based LP solver for chance-constrained finite horizon optimal control with nonconvex constraints. - Ashis Gopal Banerjee; Masahiro Ono; Nicholas Roy; Brian C. Williams (ACC, 2011)

Approaching the Symbol Grounding Problem with Probabilistic Graphical Models. - Stefanie Tellex; Thomas Kollar; Steven Dickerson; Matthew R. Walter; Ashis Gopal Banerjee; Seth J. Teller; Nicholas Roy (AI Mag., 2011)

Real-Time Path Planning for Coordinated Transport of Multiple Particles Using Optical Tweezers. - Ashis Gopal Banerjee; Sagar Chowdhury; Wolfgang Losert; Satyandra K. Gupta (IEEE Trans Autom. Sci. Eng., 2012)

Research in Automated Planning and Control for Micromanipulation. - Ashis Gopal Banerjee; Satyandra K. Gupta (IEEE Trans Autom. Sci. Eng., 2013)

Optical Tweezers: Autonomous Robots for the Manipulation of Biological Cells. - Ashis Gopal Banerjee; Sagar Chowdhury; Satyandra K. Gupta (IEEE Robotics Autom. Mag., 2014)

Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations. - Jason C. Ryan; Ashis Gopal Banerjee; Mary L. Cummings; Nicholas Roy (IEEE Trans. Cybern., 2014)

An Associative Memory Model for Integration of Fragmented Research Data and Identification of Treatment Correlations in Breast Cancer Care. - Ashis Gopal Banerjee; Mridul Khan; John H. Higgins; Annarita Giani; Amar K. Das (AMIA, 2015)

Discovering and Validating Breast Cancer Treatment Correlations Using an Associative Memory Model and Statistical Methods. - Ashis Gopal Banerjee; Mridul Khan; John H. Higgins; Amar K. Das (ICHI, 2015)

Cloud Computing-Based Marketplace for Collaborative Design and Manufacturing. - Ashis Gopal Banerjee; Benjamin Beckmann; John Carbone; Lynn A. DeRose; Annarita Giani; Peter Koudal; Patricia D. Mackenzie; Joseph James Salvo; Dan Yang; Walter Yund (IoT 360 (1), 2015)

A Note on Community Trees in Networks. - Ruqian Chen; Yen-Chi Chen; Wei Guo 008; Ashis Gopal Banerjee (CoRR, 2017)

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands. - Thomas Kollar; Stefanie Tellex; Matthew R. Walter; Albert Huang; Abraham Bachrach; Sachithra Hemachandra; Emma Brunskill; Ashis Gopal Banerjee; Deb Roy; Seth J. Teller; Nicholas Roy (CoRR, 2017)

A Step Toward Learning to Control Tens of Optically Actuated Microrobots in Three Dimensions. - Ashis Gopal Banerjee; Keshav Rajasekaran; Behnoosh Parsa (CASE, 2018)

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation. - Behnoosh Parsa; Keshav Rajasekaran; Franziska Meier; Ashis Gopal Banerjee (CoRR, 2018)

Auction Bidding Methods for Multiagent Consensus Optimization in Supply-Demand Networks. - Niyousha Rahimi; Jundi Liu; Andrey Shishkarev; Ilya Buzytsky; Ashis G. Banerjee (IEEE Robotics Autom. Lett., 2018)

Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification. - Wei Guo 008; Krithika Manohar; Steven L. Brunton; Ashis Gopal Banerjee (IEEE Trans. Knowl. Data Eng., 2018)

Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks. - Behnoosh Parsa; Ekta U. Samani; Rose Hendrix; Shashi M. Singh; Santosh Devasia; Ashis G. Banerjee (CoRR, 2019)

Deep Learning-Based Semantic Segmentation of Microscale Objects. - Ekta U. Samani; Wei Guo 008; Ashis G. Banerjee (CoRR, 2019)

Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks. - Behnoosh Parsa; Ekta U. Samani; Rose Hendrix; Cameron Devine; Shashi M. Singh; Santosh Devasia; Ashis G. Banerjee (IEEE Robotics Autom. Lett., 2019)

An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures. - Veniamin Tereshchuk; John Stewart; Nikolay Bykov; Samuel Pedigo; Santosh Devasia; Ashis G. Banerjee (IEEE Robotics Autom. Lett., 2019)

A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment. - Behnoosh Parsa; Ashis G. Banerjee (CoRR, 2020)

Vision-Based Object Recognition in Indoor Environments Using Topologically Persistent Features. - Ekta U. Samani; Xingjian Yang; Ashis G. Banerjee (CoRR, 2020)

A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems. - Jundi Liu; Steven Hwang; Walter Yund; Joel D. Neidig; Scott M. Hartford; Linda Ng Boyle; Ashis G. Banerjee (J. Comput. Inf. Sci. Eng., 2020)

A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment. - Behnoosh Parsa; Ashis G. Banerjee (WACV, 2021)

Visual Object Recognition in Indoor Environments Using Topologically Persistent Features. - Ekta U. Samani; Xingjian Yang; Ashis G. Banerjee (IEEE Robotics Autom. Lett., 2021)

A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints. - Veniamin Tereshchuk; Nikolay Bykov; Samuel Pedigo; Santosh Devasia; Ashis G. Banerjee (Robotics Comput. Integr. Manuf., 2021)

Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion. - Zhanlin Liu; Ashis G. Banerjee; Youngjun Choe (IEEE Trans Autom. Sci. Eng., 2021)

Efficient Community Detection in Large-Scale Dynamic Networks Using Topological Data Analysis. - Wei Guo 008; Ruqian Chen; Yen-Chi Chen; Ashis G. Banerjee (CoRR, 2022)

Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments. - Ekta U. Samani; Ashis G. Banerjee (CoRR, 2022)

Predicting Driver's Transition Time to a Secondary Task Given an in-Vehicle Alert. - Steven Hwang; Ashis G. Banerjee; Linda Ng Boyle (IEEE Trans. Intell. Transp. Syst., 2022)

An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems. - Jundi Liu; Linda Ng Boyle; Ashis G. Banerjee (IEEE Trans. Veh. Technol., 2022)

F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving. - Ekta U. Samani; Feng Tao; Dasari Harshavardhan Reddy; Sihao Ding 002; Ashis G. Banerjee (IROS, 2023)

Human-Inspired Topological Representations for Visual Object Recognition in Unseen Environments. - Ekta U. Samani; Ashis G. Banerjee (CoRR, 2023)

Active Anomaly Detection in Confined Spaces Using Ergodic Traversal of Directed Region Graphs. - Benjamin Wong; Tyler M. Paine; Santosh Devasia; Ashis G. Banerjee (CoRR, 2023)

Human-assisted robotic detection of foreign object debris inside confined spaces of marine vessels using probabilistic mapping. - Benjamin Wong; Wade Marquette; Nikolay Bykov; Tyler M. Paine; Ashis G. Banerjee (Robotics Auton. Syst., 2023)

Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices. - Xingjian Yang; Zhitao Yu; Ashis G. Banerjee (CASE, 2024)

Data-Driven Ergonomic Risk Assessment of Complex Hand-intensive Manufacturing Processes. - 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 (CoRR, 2024)

Toward Automated Formation of Composite Micro-Structures Using Holographic Optical Tweezers. - Tommy Zhang; Nicole Werner; Ashis G. Banerjee (CoRR, 2024)

THOR2: Leveraging Topological Soft Clustering of Color Space for Human-Inspired Object Recognition in Unseen Environments. - Ekta U. Samani; Ashis G. Banerjee (CoRR, 2024)

Persistent Homology Meets Object Unity: Object Recognition in Clutter. - Ekta U. Samani; Ashis G. Banerjee (IEEE Trans. Robotics, 2024)

Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. - Alberto Badías; Ashis G. Banerjee (IEEE Trans. Neural Networks Learn. Syst., 2024)

A distance correlation-based approach to characterize the effectiveness of recurrent neural networks for time series forecasting. - Christopher Salazar; Ashis G. Banerjee (Neurocomputing, 2025)

Rapidly Converging Time-Discounted Ergodicity on Graphs for Active Inspection of Confined Spaces. - Benjamin Wong; Ryan H. Lee; Tyler M. Paine; Santosh Devasia; Ashis G. Banerjee (CoRR, 2025)

THOR2: Topological Analysis for 3D Shape and Color-Based Human-Inspired Object Recognition in Unseen Environments. - Ekta U. Samani; Ashis G. Banerjee (Adv. Intell. Syst., 2025)