In this paper, a CNN-based learning scheme is proposed to enable a quadrotor unmanned
aerial vehicle (UAV) to avoid obstacles automatically in unknown and unstructured …

In this paper, autonomous control problem of a class of bionic continuum robots named
“Compact Bionic Handling Arm”(CBHA) is addressed. These robots can reproduce …

This paper deals with a methodology for real-time solving of a complex kinematics of a class
of continuum manipulators, namely the compact bionic handling assistant (CBHA). First, a …

In presence of the uncertainties in robot dynamics, model-based control law can easily fail.
In our paper, this important question is tackled by using fuzzy adaptive control to drive with …

The current research topic on modeling continuum manipulators are shifting toward the
development of accurate dynamic models by considering more specificities and mechanical …

Interactive robot doing collaborative work in hybrid work cell need adaptive trajectory
planning strategy. Indeed, systems must be able to generate their own trajectories without …

In this paper, a novel trajectory planning approach is proposed for redundant manipulators
in the case of several obstacles. The trajectory is discretized and at each step, we search for …

In this paper we present a fault detection strategy for wireless sensor networks. The strategy
is based on modeling a sensor node by Takagi–Sugeno–Kang (TSK) fuzzy inference system …

In this paper, a new neural network enhanced synchronized control approach is proposed
for multiple robotic manipulators systems (MRMS) based on the leader–follower network …

This paper proposes a learning framework for solving the inverse kinematics (IK) problem of
high DOF redundant manipulators. These have several possible combinations to get the end …