| Robotics, control & Planning A complex dynamical,
bottom-up, artificial life system paradigm to behavior synthesis that is
expressed using the potential field method is used for designing
goal-oriented, context-sensitive, intelligent controllers (planners).
The planners are designed to function in the face of incomplete
information. Up till now, they have been successfully applied in
sensor-based planning, planning for large scale, multi-agent systems in
unknown environments, and in pursuit evasion. Ongoing research is
focusing on adapting the technique for combinatorial optimization,
planning with aging information, and sensor-based kinodynamic motion
planning.
90-91 Motion control of a Robotics arm manipulator.
83-85 Control of Servo Systems.
Signal Processing
96-98 A VLSI-friendly, FFT-based, bandwidth-efficient, robust,
prototype, bloc receiver is derived for DPSK, and SDPSK modulated
signals.
90-95 Designing fast and reliable signal change detectors
(Edge Detectors).
88-90 Controlling the design complexity of M-D FIR digital
filters. Fast design of M-D finite precision FIR digital filters.
86-87 Estimation of the number of sinusoids in Additive White
Guassian Noise using little a priori information.
84-86 Speech analysis synthesis, and scrambling.
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