OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Permalink
Published in 2024 Conference on Robot Learning (CoRL), 2024
Published in 2024 Conference on Robot Learning (CoRL), 2024
Published in International Conference on Robotics and Automation, 2022
Recommended citation: H. Sanghvi, C.J. Taylor. "Fast Footstep Planning on Uneven Terrain Using Deep Sequential Models" in International Conference on Robotics and Automation 2022.
Published in SciTech Forefront, 2022
Recommended citation: W. Gosrich, J. Parker, H. Sanghvi, T. Srivastava, S. Wolfman. "Neutralizing the Algorithm: Approaches for Reducing the Spread of Disinformation Online", in SciTech Forefront, July 2022.
Published in Journal of Neuroscience Methods, 2022
Recommended citation: R. Ben-Shalom, A. Ladd, N. S. Athreya, C. Cross, K.G Kim, H. Sanghvi, A. Korngreen, K. E. Bouchard, K. J. Bender. "NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPU".in Journal of Neuroscience Methods, Volume 366, 2022
Published in Journal of Science Policy and Governance, 2020
Recommended citation: V. Gupta, J. Hypolite, S. Mell, H. Sanghvi, "Securing Election Infrastructure with Hand-Marked Paper Ballots". Journal of Science Policy & Governance. September 30, 2020
Published:
A blog post I wrote for the Penn Science Policy and Diplomacy Group exploring the strengths and faults of modern approaches to computer vision and natural language processing, and how legislation could regulate it.
Published:
Technical report on perceptive legged locomotion, written for Ph.D Qualifying Examination
Recommended citation: H.Sanghvi. "Recent Approaches for Perceptive Legged Locomotion" 2022