Color Nameability Predicts Inference Accuracy in Spatial Visualizations. - Khairi Reda; Amey A. Salvi; Jack Gray; Michael E. Papka (Comput. Graph. Forum, 2021)

Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator. - Adhiti Raman; Amey A. Salvi; Matthias J. Schmid; Venkat Krovi (ICRA, 2023)

Rough Terrain Path Tracking of an Ackermann Steered Platform using Hybrid Deep Reinforcement Learning. - Dhruv Mehta; Amey A. Salvi; Venkat Krovi (AIM, 2024)

Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps. - Amey A. Salvi; Kecheng Lu; Michael E. Papka; Yunhai Wang; Khairi Reda (CHI, 2024)

Stabilization of vertical motion of a vehicle on bumpy terrain using deep reinforcement learning. - Amey A. Salvi; John Coleman; Jake Buzhardt; Venkat Krovi; Phanindra Tallapragada (CoRR, 2024)

Online identification of skidding modes with interactive multiple model estimation. - Amey A. Salvi; Pardha Sai Krishna Ala; Jonathon M. Smereka; Mark J. Brudnak; David J. Gorsich; Matthias J. Schmid; Venkat Krovi (CoRR, 2024)

Characterizing gaussian mixture of motion modes for skid-steer state estimation. - Amey A. Salvi; Mark J. Brudnak; Jonathon M. Smereka; Matthias J. Schmid; Venkat Krovi (CoRR, 2025)

Experimental investigation of pose informed reinforcement learning for skid-steered visual navigation. - Amey A. Salvi; Venkat Krovi (CoRR, 2025)

Physics constrained learning of stochastic characteristics. - Pardha Sai Krishna Ala; Amey A. Salvi; Venkat Krovi; Matthias J. Schmid (CoRR, 2025)