1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 1 cited
MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller
Nishaant Shah, Kshitij Tiwari, Aniket Bera
Urban search and rescue missions require rapid first response to minimize loss of life and damage. Often, such efforts are assisted by humanitarian robots which need to handle dyna…
cs.RO2023★ 1 cited
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems
Dipam Patel, Phu Pham, Kshitij Tiwari +1
Resource-constrained robots often suffer from energy inefficiencies, underutilized computational abilities due to inadequate task allocation, and a lack of robustness in dynamic en…