no code implementations • 28 Sep 2022 • Seiji Shaw, Devesh K. Jha, Arvind Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
In this paper, we present constrained dynamic movement primitives (CDMP) which can allow for constraint satisfaction in the robot workspace.
no code implementations • 15 Aug 2022 • Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind Raghunathan, Daniel Nikovski
We propose a Predictive Group Elevator Scheduler by using predictive information of passengers arrivals from a Transformer based destination predictor and a linear regression model that predicts remaining time to destinations.
no code implementations • 22 Mar 2022 • Yuki Shirai, Devesh K. Jha, Arvind Raghunathan, Diego Romeres
Generalizable manipulation requires that robots be able to interact with novel objects and environment.
no code implementations • 5 Mar 2022 • Yuki Shirai, Devesh K. Jha, Arvind Raghunathan, Diego Romeres
In our formulation, we explicitly consider joint chance constraints for complementarity as well as states to capture the stochastic evolution of dynamics.
no code implementations • 26 Dec 2019 • Devesh Jha, Arvind Raghunathan, Diego Romeres
The algorithm has achieved state-of-the-art performance when used in reinforcement learning across a wide range of tasks.