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Mohamed Khalid M. Jaffar
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2020 – today
- 2024
- [i4]Kasun Weerakoon, Mohamed Elnoor, Gershom Seneviratne, Vignesh Rajagopal, Senthil Hariharan Arul, Jing Liang, Mohamed Khalid M. Jaffar, Dinesh Manocha:
BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes. CoRR abs/2409.16484 (2024) - [i3]Gershom Seneviratne, Kasun Weerakoon, Mohamed Elnoor, Vignesh Rajagopal, Harshavarthan Varatharajan, Mohamed Khalid M. Jaffar, Jason Pusey, Dinesh Manocha:
CROSS-GAiT: Cross-Attention-Based Multimodal Representation Fusion for Parametric Gait Adaptation in Complex Terrains. CoRR abs/2409.17262 (2024) - [i2]Mohamed Elnoor, Kasun Weerakoon, Gershom Seneviratne, Ruiqi Xian, Tianrui Guan, Mohamed Khalid M. Jaffar, Vignesh Rajagopal, Dinesh Manocha:
Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments. CoRR abs/2409.20445 (2024) - 2023
- [c2]JaeKyung Cho, Chan Kim, Mohamed Khalid M. Jaffar, Michael W. Otte, Seong-Woo Kim:
Low-level controller in response to changes in quadrotor dynamics. ICRA 2023: 5317-5323 - 2022
- [c1]Mohamed Khalid M. Jaffar, Michael W. Otte:
PiP-X: Funnel-Based Online Feedback Motion Planning/Replanning in Dynamic Environments. WAFR 2022: 132-148 - [i1]Mohamed Khalid M. Jaffar, Michael W. Otte:
PiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels. CoRR abs/2202.00772 (2022) - 2021
- [j2]Estefany Carrillo, Suyash Yeotikar, Sharan Nayak, Mohamed Khalid M. Jaffar, Shapour Azarm, Jeffrey W. Herrmann, Michael W. Otte, Huan Xu:
Communication-Aware Multi-Agent Metareasoning for Decentralized Task Allocation. IEEE Access 9: 98712-98730 (2021) - 2020
- [j1]Sharan Nayak, Michael W. Otte, Suyash Yeotikar, Estefany Carrillo, Eliot Rudnick-Cohen, Mohamed Khalid M. Jaffar, Ruchir Patel, Shapour Azarm, Jeffrey W. Herrmann, Huan Xu:
Experimental Comparison of Decentralized Task Allocation Algorithms Under Imperfect Communication. IEEE Robotics Autom. Lett. 5(2): 572-579 (2020)
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last updated on 2024-10-22 20:15 CEST by the dblp team
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