1,470 research outputs found
State Generation Method for Humanoid Motion Planning Based on Genetic Algorithm
A new approach to generate the original motion data for humanoid motion planning is presented in this paper. And a state generator is developed based on the genetic algorithm, which enables users to generate various motion states without using any reference motion data. By specifying various types of constraints such as configuration constraints and contact constraints, the state generator can generate stable states that satisfy the constraint conditions for humanoid robots. To deal with the multiple constraints and inverse kinematics, the state generation is finally simplified as a problem of optimizing and searching. In our method, we introduce a convenient mathematic representation for the constraints involved in the state generator, and solve the optimization problem with the genetic algorithm to acquire a desired state. To demonstrate the effectiveness and advantage of the method, a number of motion states are generated according to the requirements of the motion
Trajectory planning of jumping over an obstacle for one-legged jumping robot
For one-legged passive jumping robot, a trajectory planning strategy is developed to jump over an obstacle integrating three various dynamics among jumping process. Manipulability ellipsoids are effective tools to perform task space analysis and motion optimization of redundant manipulators. Jumping robot can be considered as a redundant manipulator with a load held at the end-effector. The concept of inertia matching ellipsoid and directional manipulability is extended to optimize the take-off posture of jumping robot, and the optimized results have been used to plan jumping trajectory. Aimed at the sensitivity of a trajectory to constraint conditions on point-to-point motion planning, the 6th order polynomial function is proposed to plan jumping motion having a better robustness to the parameters change of constraint conditions than traditional 5th order polynomial function. In order to lift the foot over the obstacle, correction functions are constructed under unchanged boundary constraint conditions. Furthermore, the body posture is controlled based on internal motion dynamics and steady-state consecutive jumping motion principle. A prototype model is designed, and the effectiveness of the proposed method is confirmed via
simulations performed on parameters of designed prototype
Discrete-modulation continuous-variable quantum key distribution with high key rate
Discrete-modulation continuous-variable quantum key distribution has the
potential for large-scale deployment in the secure quantum communication
networks due to low implementation complexity and compatibility with the
current telecom systems. The security proof for four coherent states
phase-shift keying (4-PSK) protocol has recently been established by applying
numerical methods. However, the achievable key rate is relatively low compared
with the optimal Gaussian modulation scheme. To enhance the key rate of
discrete-modulation protocol, we first show that 8-PSK increases the key rate
by about 60\% in comparison to 4-PSK, whereas the key rate has no significant
improvement from 8-PSK to 12-PSK. We then expand the 12-PSK to two-ring
constellation structure with four states in the inner ring and eight states in
the outer ring, which significantly improves the key rate to be 2.4 times of
that of 4-PSK. The key rate of the two-ring constellation structure can reach
70\% of the key rate achieved by Gaussian modulation in long distance
transmissions, making this protocol an attractive alternative for high-rate and
low-cost application in secure quantum communication networks.Comment: Welcome comment
mmWave Spatial-Temporal Single Harmonic Switching Transmitter Arrays for High back-off Beamforming Efficiency
This paper presents a spatial-temporal single harmonic switching (STHS)
transmitter array architecture with enhanced efficiency in the power back-off
(PBO) region. STHS is an electromagnetic and circuit co-designed and jointly
optimized transmitter array that realizes beamforming and back-off power
generation at the same time. The temporal dimension is originally added in STHS
to achieve back-off efficiency enhancement, which can be combined with
conventional power back-off enhancement methods such as Doherty amplifiers and
envelope tracking. The design is validated through a simulation of a two-stage
power amplifier in 65-nm CMOS at 77 GHz, which achieves a peak drain efficiency
(DE) of 24.2%, a 22% DE at 3-dB PBO, 16% DE at 6-dB PBO, and 10.2% at 9-dB PBO.
The efficiency exhibits a 57% improvement at 3-dB PBO, 100% improvement at 6-dB
PBO, and 190% improvement at 9-dB PBO compared with class A/B amplifier
Investigation on Single and Split Output Gate Configurations Influence on the GaN-HEMTs Switching Behaviours
This work investigates the power GaN-HEMTs switching behaviour differences resulted from usage of two gate driving configurations: single and split outputs. The analysis based on simulation and experimental results show that GaN-HEMTs could switch slower and cause higher switching losses when the split output configuration is used. This is because the output capacitance (Coss) of MOSFETs inside gate driver will be charged during the turn-on process of GaN-HEMTs, and this charging process can reduce the charging speed of input capacitance (Ciss) of GaN-HEMTs. Moreover, the gate resistance and parasitic inductance are the main parameters selected for analysis, and their distribution can amplify this effect by increasing the impedance ratio of turn-on and turn-off loop. This research provides guiding suggestions for gate driver and high-efficiency GaN-HEMTs power module design.</p
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