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IROS
2006
IEEE
126views Robotics» more  IROS 2006»
15 years 3 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...
HYBRID
2000
Springer
15 years 1 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
SIGCOMM
2006
ACM
15 years 3 months ago
Interference-aware fair rate control in wireless sensor networks
In a wireless sensor network of N nodes transmitting data to a single base station, possibly over multiple hops, what distributed mechanisms should be implemented in order to dyna...
Sumit Rangwala, Ramakrishna Gummadi, Ramesh Govind...
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
14 years 4 months ago
Effect of network structure on the stability margin of large vehicle formation with distributed control
We study the problem of distributed control of a large network of double-integrator agents to maintain a rigid formation. A few lead vehicles are given information on the desired t...
He Hao, Prabir Barooah, J. J. P. Veerman
CSREASAM
2006
14 years 11 months ago
Stochastic Modeling of Worm Propagation in Trusted Networks
- There are two types of models useful in the study of worm propagation for a given number of terminals in a trusted network i.e. deterministic and stochastic model. The determinis...
Vivek Kumar Sehgal