This application claims the benefit of Taiwan application Serial No. 101140855 and 102114844, filed Nov. 2, 2012 and Apr. 25, 2013, the disclosure of which is incorporated by reference herein in its entirety.
The disclosed embodiments relate in general to a sensing apparatus, and more particularly to a proximity sensing method, a proximity sensing apparatus and a mobile platform using the same.
With fast developments in automation techniques and artificial intelligence, the role of robots is becoming increasingly important. Robots have gradually evolved towards service robots in the recently years, particularly towards cleaning robots. Cleaning robots, applied to a large and diversified scope, can be mainly divided into two categories—an industrial category and a household category. For example, a household floor cleaning robot, also referred to as a self-propelled vacuum cleaner, has rapidly emerged to become a market mainstream product and possesses a high development potential.
A current self-propelled cleaning robot usually performs an anti-falling detection via infrared sensing, which commonly adopts strength of received energy as a determination reference. A sensing result obtained according to such determination reference may be affected due to interferences from ground colors and ambient light sources, to even lead to a robot falling event. Further, in order to counteract environmental effects, circuit parameters are designed and adjusted based on element characteristics, and a complex amplifying filter circuit is often inevitable. When moving on a black floor, a current self-propelled cleaning robot is prone to conclude a misjudged falling event if circuit parameters are inappropriately adjusted, resulting in a malfunction such as a standstill of the robot.
The disclosure is directed to a proximity sensing method, a proximity sensing apparatus and a mobile platform using the same.
According to one embodiment, a proximity sensing apparatus is provided. The proximity sensing apparatus comprises an encoded signal transmission unit, an interference signal transmission unit and a reception unit. The encoded signal transmission unit transmits an encoded signal, and the interference signal transmission unit transmits an interference signal. The interference signal interferes with the encoded signal to generate an interfered signal. The reception unit receives a sensing signal and outputs the sensing signal to a signal processing unit. The sensing signal is either the interfered signal or the encoded signal. The signal processing unit is electrically connected to the reception unit, and determines whether the sensing signal matches the encoded signal. The signal processing unit further outputs a proximity signal when the sensing signal does not match the encoded signal.
According to another embodiment, a mobile platform is provided. The mobile platform comprises a proximity sensing unit, a movement unit, a movement control unit, a signal processing unit and a housing. The proximity sensing apparatus comprises an encoded signal transmission unit, an interference signal transmission unit and a reception unit. The encoded signal transmission unit transmits an encoded signal, and the interference signal transmission unit transmits an interference signal. The interference signal interferes with the encoded signal to generate an interfered signal. The reception unit receives a sensing signal and outputs the sensing signal to a signal processing unit. The sensing signal is either the interfered signal or the encoded signal. The signal processing unit is electrically connected to the reception unit. The movement control unit is electrically connected to the movement unit and the signal processing unit. The housing accommodates the movement unit and the movement control unit. The proximity sensing apparatus is installed at a surface of the housing. The signal processing unit determines whether the sensing signal matches the encoded signal, and outputs the proximity signal. The proximity signal is output to the movement control unit when the sensing signal does not match the encoded signal to control the movement unit.
According to an alternative embodiment, a proximity sensing method is provided. The method comprises steps of: transmitting an encoded signal; transmitting an interference signal for interfering with the encoded signal to generate an interfered signal; receiving a sensing signal, which is either the interfered signal or the encoded signal; determining whether the sensing signal matches the encoded signal; and outputting a proximity signal when the sensing signal does not match the encoded signal.
In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the disclosed embodiments. It will be apparent, however, that one or more embodiments may be practiced without these specific details. In other instances, well-known structures and devices are schematically shown in order to simplify the drawing.
The proximity sensing apparatus 11 comprises an encoded signal transmission unit 111, an interference signal transmission unit 112 and a reception unit 113. The signal processing unit 14 is electrically connected to the reception unit 113. For example, either the encoded signal transmission unit 111 or the interference signal transmission unit 112 is an infrared transmitter, and the reception unit 113 is an infrared receiver. The reception unit 113 receives a sensing signal S6 and transmits the sensing signal S6 to the signal processing unit 14.
The signal processing unit 14 controls the encoded signal transmission unit 111 to transmit an encoded signal S1, and controls the interference signal transmission unit 112 to transmit an interference signal S2. When an object, e.g., an obstacle, a wall or a surface of a substance, is approached, the interference signal S2 interferes with the encoded signal S1 to generate an interfered signal. The reception unit 113 receives a sensing signal S6, and transmits the sensing signal S6 to the signal processing unit 14. The signal processing unit 14 determines whether the sensing signal S6 matches the encoded signal S1, and outputs a proximity signal S4 when the sensing signal S6 does not match the encoded signal S1.
When the proximity sensing apparatus 11 approaches an object and the interference signal S2 interferes with the encoded signal S1, the signal processing unit 14 determines whether the sensing signal S6 matches the encoded signal S1. In contrast, when the proximity sensing apparatus 11 moves away from an object, the interference signal S2 does not interfere with the encoded signal S1. For instance, the proximity sensing apparatus 11 approaching an object may refer to the proximity sensing apparatus 11 approaching a wall or an obstacle. Alternatively, the proximity sensing apparatus 11 approaching an object may refer to the proximity sensing apparatus 11 maintaining a distance from the ground and away from stairs.
For illustration purposes, a part of the encoded signal S1 is depicted in
The infrared constant-frequency signal shown in
Conversely, when the proximity sensing apparatus 11 moves away from an object, the interference signal S2 no longer interferes with the encoded signal S1. The encoded signal S1 is then received as the sensing signal S6 by the reception unit 116, and is decoded into encoded data S5 shown in
Further, in an embodiment, the proximity sensing apparatus 11 further comprises an integrated housing 114 and a partition plate 115. The partition plate 115, being an opaque material and located between the interference signal transmission unit 112 and the reception unit 113, is capable of isolating interferences scattered by the interference signal transmission unit 112 upon a proximal end of the reception unit 113. The integrated housing 114 comprises housing sides 1141 to 1144. The housing side 1141 is opposite the housing side 1143, and the housing side 1142 is opposite the housing side 1144. The housing side 1142 is neighboring to the encoded signal transmission unit 111, and the housing side 1144 is neighboring to the interference signal transmission unit 112. The housing side 1141 and the housing side 1143 are neighboring to the encoded signal transmission unit 111, the interference signal transmission unit 112 and the reception unit 113. An included angle θ is formed between the reception unit 113 and the housing side 1141.
Conversely, when the mobile platform 1 encounters a stair 4, the interference signal S2 is attenuated from reflection and becomes incapable of interfering with the encoded signal S1. The sensing signal S6 received by the reception unit 113 is then the non-interfered encoded signal S1. As such, the signal processing unit 14 determines that the sensing signal S6 matches the encoded signal S1 which indicates the mobile platform 1 is to fall off shortly, and the movement control unit 13 will control the mobile platform to stop or turn to prevent the mobile platform 1 from falling off.
Conversely, when the mobile platform 1 moves away from the wall surface 5, the interference signal S2 is attenuated from reflection and becomes incapable of interfering with the encoded signal S1. The sensing signal S6 received by the reception unit 113 is then the non-interfered encoded signal S1. When the sensing signal S6 is the encoded signal S1, the signal processing unit 14 determines that the sensing signal S6 matches the encoded signal S1.
Through signal encoding and interference as described in the embodiments, the detection for an obstacle can be prevented from effects of not only light and an ambient temperature but also colors of object surfaces and a material emission rate. Moreover, a rear-end signal processing circuit can be simplified to further reduce costs and enhance the ease of use.
It will be apparent to those skilled in the art that various modifications and variations can be made to the disclosed embodiments. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims and their equivalents.
Number | Date | Country | Kind |
---|---|---|---|
101140855 A | Nov 2012 | TW | national |
102114844 A | Apr 2013 | TW | national |
Number | Name | Date | Kind |
---|---|---|---|
6809490 | Jones et al. | Oct 2004 | B2 |
7020701 | Gelvin et al. | Mar 2006 | B1 |
7155308 | Jones | Dec 2006 | B2 |
7643906 | Yu et al. | Jan 2010 | B2 |
20040030601 | Pond et al. | Feb 2004 | A1 |
20040236470 | Dooley et al. | Nov 2004 | A1 |
20070016328 | Ziegler et al. | Jan 2007 | A1 |
20070192910 | Vu et al. | Aug 2007 | A1 |
20070244610 | Ozick et al. | Oct 2007 | A1 |
20080039974 | Sandin et al. | Feb 2008 | A1 |
20090030551 | Hein et al. | Jan 2009 | A1 |
20100030378 | Choi et al. | Feb 2010 | A1 |
20100040120 | Sharma | Feb 2010 | A1 |
20100145526 | Yamaguchi et al. | Jun 2010 | A1 |
20100148940 | Gelvin et al. | Jun 2010 | A1 |
20100324734 | Lee et al. | Dec 2010 | A1 |
20130098402 | Yoon et al. | Apr 2013 | A1 |
20140016113 | Holt et al. | Jan 2014 | A1 |
20140129027 | Schnittman | May 2014 | A1 |
Number | Date | Country |
---|---|---|
2587027 | Nov 2003 | CN |
100578963 | Jan 2010 | CN |
101893708 | Nov 2010 | CN |
101915917 | Sep 2012 | CN |
542739 | Jul 2003 | TW |
M272503 | Aug 2005 | TW |
M314354 | Jun 2007 | TW |
200836690 | Sep 2008 | TW |
201035710 | Oct 2010 | TW |
M404370 | May 2011 | TW |
Entry |
---|
Lenchner et al., “Towards Data Center Self-Diagnosis Using a Mobile Robot”, ICAC '11, Jun. 14-18, 2011, 10 pages. |
Gavrilut et al., “Obstacles Avoidance Method for an Autonomous Mobile Robot using Two IR Sensors”, Journal of Electrical and Electronics Engineering, Jan. 2008, pp. 194-197. |
Wen et al., “Infrared Sensor Based Target Following Device for a Mobile Robot”, International Conference on Advanced Intelligent Mechatronics (AIM2011), Jul. 3-7, 2011, pp. 49-54. |
Benet et al., “Using infrared sensors for distance measurement in mobile robots”, Robotics and Autonomous Systems, 2002, pp. 255-266, vol. 40. |
Korba et al., “Active Infrared Sensors for Mobile Robots”, IEEE Transactions on Instrumentation and Measurement, Apr. 1994, pp. 283-287, vol. 43, No. 2. |
Dumitru et al., “Methods and algorithms for motion control of walking mobile robot with obstacle avoidance”, Proceedings of the European Computing Conference, 2011, pp. 404-409. |
Number | Date | Country | |
---|---|---|---|
20140129029 A1 | May 2014 | US |