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projects
publications
Building a Word Segmenter for Sanskrit Overnight
Vikas Reddy, Amrith Krishna, Vishnu Dutt Sharma, Prateek Gupta, Vineeth M R, Pawan Goyal. (2018). "Building a Word Segmenter for Sanskrit Overnight."
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
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Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal (2018). "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit."
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
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Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages
Amrith Krishna, Vishnu Dutt Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal (2019). "Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages."
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)
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Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles
Vishnu Dutt Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar (2020). "Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles."
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
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Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images
A workshop paper on risk-aware path planning for ground vehicles using occluded aerial imagery.
Recommended citation: Sharma, V. D., & Tokekar, P. (2022). "Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images." ICRA 2022 Workshop on Robotic Perception and Mapping. https://arxiv.org/pdf/2104.11709.pdf
Occupancy Map Prediction for Improved Indoor Robot Navigation
A workshop paper on occupancy map prediction techniques for improved indoor robot navigation.
Recommended citation: Sharma, V. D., Chen, J., Shrivastava, A., & Tokekar, P. (2022). "Occupancy Map Prediction for Improved Indoor Robot Navigation." ICRA 2022 Workshop on Robotic Perception and Mapping. https://arxiv.org/pdf/2203.04177.pdf
Semantic Navigation for Assistive Robots: Identifying, Mapping, and Navigating to Door Signs in Indoor Environments
A workshop paper on semantic navigation techniques for assistive robots to identify and navigate to door signs.
Recommended citation: Nanda, S., Sharma, V. D., Shi, G., Chen, J., & Tokekar, P. (2022). "Semantic Navigation for Assistive Robots." IROS 2022 Workshop on Social and Cognitive Interactions for Assistive Robotics.
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information
A preprint on interpretable deep reinforcement learning methods for green security games with real-time information.
Recommended citation: Sharma, V. D., Dickerson, J. P., & Tokekar, P. (2022). "Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information." arXiv preprint arXiv:2211.04987. https://arxiv.org/pdf/2211.04987.pdf
Graph Neural Networks for Decentralized Multi-Robot Target Tracking
Lifeng Zhou*, Vishnu Dutt Sharma*, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar (2022). "Graph Neural Networks for Decentralized Multi-Robot Target Tracking."
(*: Indicates equal contribution)
IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2022)
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FLIP-TD: Free Lunch Inpainting on Top-Down Images for Robotic Tasks
A workshop paper on free lunch inpainting techniques for top-down robotic imagery.
Recommended citation: Singh, A., Sharma, V. D., & Tokekar, P. (2023). "FLIP-TD: Free Lunch Inpainting on Top-Down Images for Robotic Tasks." ICRA 2023 Workshop on Pretraining for Robotics. https://openreview.net/pdf?id=7c0WHyETaHC
ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation
A method for predicting proximal occupancy maps to improve efficiency of indoor robot navigation.
Recommended citation: Sharma, V. D., Chen, J., & Tokekar, P. (2023). "ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation." IROS 2023. https://arxiv.org/pdf/2203.04177.pdf
Pred-NBV: Prediction-guided Next-Best-View for 3D Object Reconstruction
A prediction-guided approach for determining next-best-view in 3D object reconstruction tasks.
Recommended citation: Dhami, H., Sharma, V. D., & Tokekar, P. (2023). "Pred-NBV: Prediction-guided Next-Best-View for 3D Object Reconstruction." IROS 2023. https://arxiv.org/pdf/2304.11465.pdf
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar (2023). "D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage."
IEEE International Conference on Robotics and Automation (ICRA 2023)
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Pre-Trained Masked Image Model for Mobile Robot Navigation
Leveraging pre-trained masked image models for improved mobile robot navigation.
Recommended citation: Sharma, V. D., Singh, A., & Tokekar, P. (2024). "Pre-Trained Masked Image Model for Mobile Robot Navigation." ICRA 2024. https://raaslab.org/pubs/sharma2023pretrained.pdf
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection
A preprint on an online GTSP-based algorithm for targeted surface inspection of bridges with defect detection.
Recommended citation: Dhami, H., Reddy, C., Sharma, V. D., Williams, T., & Tokekar, P. (2024). "GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection." arXiv preprint arXiv:2406.16625. https://arxiv.org/pdf/2406.16625
MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction
A multi-agent approach for prediction-guided next-best-view planning in active 3D object reconstruction.
Recommended citation: Dhami, H., Sharma, V. D., & Tokekar, P. (2024). "MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction." IROS 2024. https://arxiv.org/pdf/2307.04004.pdf
LAVA: Long-horizon Visual Action based Food Acquisition
A long-horizon visual action framework for robotic food acquisition tasks.
Recommended citation: Bhaskar, A., Liu, R., Sharma, V. D., Shi, G., & Tokekar, P. (2024). "LAVA: Long-horizon Visual Action based Food Acquisition." IROS 2024. https://arxiv.org/pdf/2403.12876
Hybrid Classical/RL Local Planner for Ground Robot Navigation
A hybrid approach combining classical and reinforcement learning techniques for local path planning in ground robot navigation.
Recommended citation: Sharma, V. D., Lee, J., Andrews, M., & Hadžić, I. (2025). "Hybrid Classical/RL Local Planner for Ground Robot Navigation." RL Conference 2025. https://arxiv.org/pdf/2410.03066
Design of a Smooth Dynamic Digital Twin for Industrial Object Tracking
A design approach for a smooth dynamic digital twin system for industrial object tracking applications.
Recommended citation: Lee, J., Sharma, V. D., Salaun, L., & Andrews, M. (2025). "Design of a Smooth Dynamic Digital Twin for Industrial Object Tracking." IEEE Metacom 2025.
Improving Zero-Shot ObjectNav with Generative Communication
Techniques for improving zero-shot object navigation through generative communication approaches.
Recommended citation: Dorbala, V. S., Sharma, V. D., Tokekar, P., & Manocha, D. (2025). "Improving Zero-Shot ObjectNav with Generative Communication." ICRA 2025. https://arxiv.org/pdf/2408.01877
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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