Travelled to:1 × Canada
1 × China
1 × Germany
2 × USA
Collaborated with:S.Schaal G.McNeill Wolfgang Merkt M.Toussaint Y.Yang Christopher E. Mower A.D'Souza J.Conradt G.Tevatia Vladimir Ivan Aled Davies T.Stouraitis Maurice Fallon
Talks about:learn (3) probabilist (2) autonomi (2) share (2) model (2) local (2) locomanipul (1) discontinu (1) nonlinear (1) increment (1)
Person: Sethu Vijayakumar
DBLP: Vijayakumar:Sethu
Contributed to:
2007
2006200520042000
20172019Wrote 9 papers:
- ICML-2007-McNeillV #generative #linear #modelling #probability
- Linear and nonlinear generative probabilistic class models for shape contours (GM, SV), pp. 617–624.
- ICPR-v2-2006-McNeillV #probability
- Part-Based Probabilistic Point Matching (GM, SV), pp. 382–386.
- ICML-2005-ToussaintV #learning #modelling
- Learning discontinuities with products-of-sigmoids for switching between local models (MT, SV), pp. 904–911.
- ICML-2004-DSouzaVS
- The Bayesian backfitting relevance vector machine (AD, SV, SS).
- ICML-2000-ConradtTVS #learning #online
- On-line Learning for Humanoid Robot Systems (JC, GT, SV, SS), pp. 191–198.
- ICML-2000-VijayakumarS #incremental #learning #realtime
- Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space (SV, SS), pp. 1079–1086.
- CASE-2017-MerktYSMFV #mobile #monitoring #robust
- Robust shared autonomy for mobile manipulation with continuous scene monitoring (WM, YY, TS, CEM, MF, SV), pp. 130–137.
- CASE-2019-MerktIYV #towards #using
- Towards Shared Autonomy Applications using Whole-body Control Formulations of Locomanipulation (WM, VI, YY, SV), pp. 1206–1211.
- CASE-2019-MowerMDV
- Comparing Alternate Modes of Teleoperation for Constrained Tasks (CEM, WM, AD, SV), pp. 1497–1504.