By Aleksandar Rodić, Theodor Borangiu

This e-book offers the lawsuits of the twenty fifth foreign convention on Robotics in Alpe-Adria-Danube zone, RAAD 2016 held in Belgrade, Serbia, on June 30th–July second, 2016. according to the culture of the development, RAAD 2016 lined all of the vital parts of analysis and innovation in new robotic designs and clever robotic regulate, with papers together with clever robotic movement keep an eye on; robotic imaginative and prescient and sensory processing; Novel layout of robotic manipulators and grippers; robotic purposes in production and companies; self sustaining structures, humanoid and jogging robots; Human–robot interplay and collaboration; Cognitive robots and emotional intelligence; clinical, human-assistive robots and prosthetic layout; Robots in development and humanities, and Evolution, schooling, criminal and social problems with robotics. For the 1st time in RAAD heritage, the subjects cloud robots, criminal and moral matters in robotics in addition to robots in arts have been incorporated within the technical application. The booklet is a priceless source for researchers in fields of robotics, engineers who enforce robot ideas in production, providers and healthcare, and master’s and Ph.D. scholars engaged on robotics projects.

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PAMM 15, 65–66 (2015) 7. : Robot Force Control. Springer Science & Business Media, New York (1999) 8. : Design procedure for a learning feedforward controller. In: Proceedings of the First IFAC Conference on Mechatronic Systems, pp. 955–960 (2000) On-Line Modifications of Robotic Trajectories: Learning, Coaching and Force Vs. si Abstract. Robotic coaching is a process of modifying the motion of a robot during execution through human intervention, in a manner of a coach. Thus, parts of the motion are changed depending on the instructions which can be provided through different approaches.

0 The end effector pose PeΣ0 is defined as the position tΣ e and the orientation Σ0 Re of the end effector specified in the base coordinate system (O; xO , yO , zO ), referred to as Σ0 : ⎛ ⎞ 1 0 0 0 ⎜ 0 1 0 0⎟ 1 0T ⎟ PeΣ0 := =⎜ (1) Σ0 0 ⎝ −100 0 0 1 ⎠ te RΣ e 1150 0 −1 0 Σ0 Σ0 Σ0 T 0 ty tz ] and In (1) PeΣ0 is specified by a 3×1 position vector tΣ e = [tx Σ0 a 3×3 rotation matrix Re . To solve the kinematics problem a geometry based technique is used. This means that the redundancy is resolved on the position level (pure inverse kinematics) in contrast to the conventional method which is bases on the velocity level (null space projection by generalized Jacobian inverse, see [4,9] for an overview).

The characteristic quasi-polynomial of the closed loop system described with (12) is given by: À Á  À  Á f ðsÞ ¼ s4 þ s2 K4 KDh sa K3 þ KDu s À K1 KDh sa =K3 þ s2 K4 KPh K3 þ KPu À K1 =K4 À K1 KPh =K3 : ð15Þ The plane (KPh, KDh) is decomposed by the boundaries of the D-decomposition into finite number regions D(k). Any point in D(k) corresponds to such values of KPh and KDh that polynomial (15) has exactly k zeroes with positive real parts. The region D(0) represents the stability region. The stability boundaries are curves on which each point corresponds to polynomial (15) having zeroes on the imaginary axes.

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