Tanmay Agarwal

14 papers A* 2A 2Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Designing Energy-Aware Scheduling and Task Allocation Algorithms for Online Reinforcement Learning Applications in Cloud Environments. IEEE Trans. Comput. Soc. Syst. Harshal Janjani, Tanmay Agarwal, M. P. Gopinath, Vimoh Sharma, S. P. Raja
2025	—	`conf`	ORB: Operating Room Bot, Automating Operating Room Logistics through Mobile Manipulation. CASE Jinkai Qiu, Yungjun Kim, Gaurav Sethia, Tanmay Agarwal, Siddharth Ghodasara, Zackory Erickson, Jeffrey Ichnowski
2025	J	`jnl`	ORB: Operating Room Bot, Automating Operating Room Logistics through Mobile Manipulation. CoRR Jinkai Qiu, Yungjun Kim, Gaurav Sethia, Tanmay Agarwal, Siddharth Ghodasara, Zackory Erickson, Jeffrey Ichnowski
2023	J	`jnl`	Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. CoRR Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
2023	A	`conf`	Modeling Dynamic Environments with Scene Graph Memory. AAMAS Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
2023	A*	`conf`	Modeling Dynamic Environments with Scene Graph Memory. ICML Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
2023	J	`jnl`	Modeling Dynamic Environments with Scene Graph Memory. CoRR Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
2023	A*	`conf`	The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. CVPR Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu
2023	J	`jnl`	The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. CoRR Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu
2021	J	`jnl`	Affordance-based Reinforcement Learning for Urban Driving. CoRR Tanmay Agarwal, Hitesh Arora, Jeff Schneider
2021	—	`conf`	Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. NeurIPS Datasets and Benchmarks Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
2021	—	`conf`	Learning Urban Driving Policies using Deep Reinforcement Learning. ITSC Tanmay Agarwal, Hitesh Arora, Jeff Schneider
2021	A	`conf`	Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration. IROS Tanmay Agarwal, Michael Fulton, Junaed Sattar
2019	—	`conf`	Predicting the Remaining Useful Life of Ball Bearing Under Dynamic Loading Using Supervised Learning. IEEM Savinay Singh, Tanmay Agarwal, Girish Kumar, Om Prakash Yadav