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Ayush Agrawal
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2020 – today
- 2024
- [j8]Ayush Agrawal, Raghav Prabhakar, Anirudh Goyal, Dianbo Liu:
Physical Reasoning and Object Planning for Household Embodied Agents. Trans. Mach. Learn. Res. 2024 (2024) - [c18]Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Kalai:
Do Language Models Know When They're Hallucinating References? EACL (Findings) 2024: 912-928 - [i14]Xingpeng Xia, Jason J. Choi, Ayush Agrawal, Koushil Sreenath, Claire J. Tomlin, Somil Bansal:
Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker. CoRR abs/2409.16301 (2024) - 2023
- [j7]Tejasvi Alladi, Ayush Agrawal, Bhavya Gera, Vinay Chamola, F. Richard Yu:
Ambient Intelligence for Securing Intelligent Vehicular Networks: Edge-Enabled Intrusion and Anomaly Detection Strategies. IEEE Internet Things Mag. 6(1): 128-132 (2023) - [c17]Ayush Agrawal, Mukunda Bharatheesha, Shishir Kolathaya:
Formation Control of Differential-Drive Robots with Input Saturation and Constraint on Formation Size. CDC 2023: 8620-8627 - [c16]Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Sequence-Agnostic Multi-Object Navigation. ICRA 2023: 9573-9579 - [c15]Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna:
CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. RO-MAN 2023: 2604-2609 - [i13]Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Sequence-Agnostic Multi-Object Navigation. CoRR abs/2305.06178 (2023) - [i12]Ayush Agrawal, Lester Mackey, Adam Tauman Kalai:
Do Language Models Know When They're Hallucinating References? CoRR abs/2305.18248 (2023) - [i11]Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna:
CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. CoRR abs/2306.01540 (2023) - [i10]Ayush Agrawal, Raghav Prabhakar, Anirudh Goyal, Dianbo Liu:
Physical Reasoning and Object Planning for Household Embodied Agents. CoRR abs/2311.13577 (2023) - 2022
- [j6]Jason J. Choi
, Ayush Agrawal, Koushil Sreenath
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. IEEE Robotics Autom. Lett. 7(2): 4504-4511 (2022) - [j5]Kushagra Agrawal
NovelADS: A Novel Anomaly Detection System for Intra-Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23(11): 22596-22606 (2022) - [c14]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRL 2022: 2125-2135 - [c13]Ayush Agrawal, Shuxiao Chen, Akshara Rai, Koushil Sreenath
Vision-Aided Dynamic Quadrupedal Locomotion on Discrete Terrain Using Motion Libraries. ICRA 2022: 4708-4714 - [i9]Jason J. Choi, Ayush Agrawal, Koushil Sreenath, Claire J. Tomlin, Somil Bansal:
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. CoRR abs/2201.08538 (2022) - [i8]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRR abs/2208.06721 (2022) - [i7]Ayush Agrawal, Siddhartha Gadgil, Navin Goyal, Ashvni Narayanan, Anand Tadipatri:
Towards a Mathematics Formalisation Assistant using Large Language Models. CoRR abs/2211.07524 (2022) - 2021
- [j4]Tejasvi Alladi
DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs. IEEE Trans. Veh. Technol. 70(11): 12013-12023 (2021) - [c12]Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath:
Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers. ADHS 2021: 19-24 - [c11]Scott Gilroy, Derek Lau, Lizhi Yang
Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles. CASE 2021: 2132-2139 - [c10]Tejasvi Alladi
Deep Neural Networks for Securing IoT Enabled Vehicular Ad-Hoc Networks. ICC 2021: 1-6 - [c9]Jonathan Anglingdarma, Ayush Agrawal, Joshua Morey, Koushil Sreenath:
Motion Planning and Feedback Control for Bipedal Robots Riding a Snakeboard. ICRA 2021: 2818-2824 - [d1]Anatoly Shusterman, Ayush Agrawal, Giorgio Maone, Sioli O'Connell, Daniel Genkin, Yossi Oren, Yuval Yarom:
Browser Based Side-Channel Defenses Datasets. IEEE DataPort, 2021 - [i6]Scott Gilroy, Derek Lau, Lizhi Yang, Ed Izaguirre, Kristen Biermayer, Anxing Xiao, Mengti Sun, Ayush Agrawal, Jun Zeng, Zhongyu Li, Koushil Sreenath:
Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles. CoRR abs/2107.00773 (2021) - [i5]Ayush Agrawal, Shuxiao Chen, Akshara Rai, Koushil Sreenath:
Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries. CoRR abs/2110.00891 (2021) - 2020
- [c8]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CDC 2020: 737-744 - [c7]Chenyu Yang
Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization. IROS 2020: 7513-7520 - [c6]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. L4DC 2020: 990-999 - [i4]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. CoRR abs/2004.07276 (2020) - [i3]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CoRR abs/2004.10331 (2020) - [i2]Chenyu Yang, Bike Zhang, Jun Zeng, Ayush Agrawal, Koushil Sreenath:
Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization. CoRR abs/2008.00191 (2020)
2010 – 2019
- 2019
- [j3]Xuning Yang
Online adaptive teleoperation via motion primitives for mobile robots. Auton. Robots 43(6): 1357-1373 (2019) - [c5]Akankshya Kar, Prakhar Kulshreshtha, Ayush Agrawal, Sandeep Palakkal, Lokesh R. Boregowda:
Annotation-free Quality Estimation of Food Grains using Deep Neural Network. BMVC 2019: 52 - [c4]Ayush Agrawal, Koushil Sreenath:
Bipedal Robotic Running on Stochastic Discrete Terrain. ECC 2019: 3564-3570 - 2018
- [j2]Quan Nguyen, Ayush Agrawal, William C. Martin, Hartmut Geyer, Koushil Sreenath:
Dynamic bipedal locomotion over stochastic discrete terrain. Int. J. Robotics Res. 37(13-14) (2018) - [i1]Omar Harib, Ayonga Hereid, Ayush Agrawal, Thomas Gurriet, Sylvain Finet, Guilhem Boeris, Alexis Duburcq, Margaret Eva Mungai, Matthieu Masselin, Aaron D. Ames, Koushil Sreenath, Jessy W. Grizzle:
Feedback Control of an Exoskeleton for Paraplegics: Toward Robustly Stable Hands-free Dynamic Walking. CoRR abs/1802.08322 (2018) - 2017
- [j1]Ayush Agrawal, Omar Harib
First Steps Towards Translating HZD Control of Bipedal Robots to Decentralized Control of Exoskeletons. IEEE Access 5: 9919-9934 (2017) - [c3]Ayush Agrawal, Koushil Sreenath:
Discrete Control Barrier Functions for Safety-Critical Control of Discrete Systems with Application to Bipedal Robot Navigation. Robotics: Science and Systems 2017 - [c2]Quan Nguyen, Ayush Agrawal, Xingye Da, William C. Martin, Hartmut Geyer, Jessy W. Grizzle, Koushil Sreenath:
Dynamic Walking on Randomly-Varying Discrete Terrain with One-step Preview. Robotics: Science and Systems 2017 - 2016
- [c1]Ayush Agrawal, Jitesh Karamchandani, Sushila Maheshkar
Class tiling design for ordered dithering. RAIT 2016: 478-482
Coauthor Index
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