DETERMINATION OF THE X-CONDUCTION-SUBBAND ENERGIES IN TYPE-II GAAS/ALAS/GAAS QUANTUM-WELL BY DEEP-LEVEL TRANSIENT SPECTROSCOPY

Using deep level transient spectroscopy (DLTS) the X conduction-subband energy levels in an AlAs well sandwiched by double GaAs layers were determined. Calculation gives eight subbands in the well with well width of 50 Angstrom. Among them, five levels and the other three remainders are determined by using the large longitudinal electron effective mass m(1)(1.1m(0)) and transverse electron effective mass m(t)(0.19m(0)) at X valley, respectively. Two subbands with the height energies were hardly detectable and the other six ones with lower energies are active in the present DLTS study. Because these six subbands are close to each other, we divided them into three groups. Experimentally, we observed three signals induced from the three groups. A good agreement between the calculation and experiment was obtained. (C) 1995 American Institute of Physics.

灾难救援机器人研究现状、关键性能及展望

对日本、美国和中国等国家灾难救援机器人的研究现状和研究计划进行综述。根据世界各国救援机器人技术的研究现状,结合救援机器人在实际应用中取得的经验和教训,归纳和总结出救援机器人的关键性能为：存活能力、运动能力、感知能力、通信能力和作业能力。研究结果表明,灾难救援机器人研究逐步从试验研究转入到实际应用,多种技术融合化、多智能体网络化是今后灾难救援机器人研究的发展方向。防灾、减灾和救灾事关人民生命和财产安全,是国家公共安全的重要组成部分。救援机器人技术是国家发展迫切需要的战略必争的核心技术之一,将在国民经济和安全中起着重要作用并具有重大的战略意义。