activity
20232025
most citedNon-parametric regression for robot learning on manifolds

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

math.ST2023

Sampling and estimation on manifolds using the Langevin diffusion

Karthik Bharath, Alexander Lewis, Akash Sharma +1

Error bounds are derived for sampling and estimation using a discretization of an intrinsically defined Langevin diffusion with invariant measure $\text{d}μ_ϕ\propto e^{-ϕ} \mathrm…

cs.RO2023★ 1 cited

Non-parametric regression for robot learning on manifolds

P. C. Lopez-Custodio, K. Bharath, A. Kucukyilmaz +1

Many of the tools available for robot learning were designed for Euclidean data. However, many applications in robotics involve manifold-valued data. A common example is orientatio…