Publications
Vishnu Dutt Sharma, Jeongran Lee, Matthew Andrews, Ilija Hadžić
Accepted at the RL Conference 2025
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Jeongran Lee, Vishnu Dutt Sharma, Lou Salaun, Matthew Andrews
Accepted at the IEEE Metacom 2025
Vishnu Sashank Dorbala*, Vishnu Dutt Sharma*, Pratap Tokekar, Dinesh Manocha
Accepted at the ICRA 2025
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Harnaik Dhami*, Vishnu Dutt Sharma*, Pratap Tokekar
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
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Amisha Bhaskar, Rui Liu, Vishnu Dutt Sharma, Guangyao Shi, Pratap Tokekar
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
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Vishnu Dutt Sharma, Anukriti Singh, Pratap Tokekar
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2024)
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Vishnu Dutt Sharma, Jingxi Chen, Pratap Tokekar (2023). “ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation.”
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)
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Harnaik Dhami*, Vishnu Dutt Sharma*, Pratap Tokekar
(*: Indicates equal contribution)
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)
Robotics: Science and Systems (RSS) Workshop on Robot Representations For Scene Understanding, Reasoning and Planning, 2023
Robotics: Science and Systems (RSS) Workshop on Inference and Decision Making for Autonomous Vehicles, 2023
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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
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.
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
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
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
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
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
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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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
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
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
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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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
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.
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
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
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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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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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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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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Workshop Papers
Anukriti Singh*, Vishnu Dutt Sharma*, Pratap Tokekar
ICRA 2023 workshop on Pretraining for Robotics (PT4R)
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Vishnu Dutt Sharma, Pratap Tokekar
ICRA 2022 workshop on Robotic Perception and Mapping: Emerging Techniques
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Vishnu Dutt Sharma, Jingxi Chen, Abhinav Shrivastava, Pratap Tokekar
ICRA 2022 workshop on Robotic Perception and Mapping: Emerging Techniques
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Shivani Nanda, Vishnu Dutt Sharma, Guangyao Shi, Jingxi Chen, Pratap Tokekar
IROS 2022 workshop on Social and Cognitive Interactions for Assistive Robotics Workshop
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Preprints
Vishnu Dutt Sharma, John P. Dickerson, Pratap Tokekar
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Harnaik Dhami, Charith Reddy, Vishnu Dutt Sharma, Troi Williams, Pratap Tokekar
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(*: Indicates equal contribution)