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公开(公告)号：US20210406594A1
公开(公告)日：2021-12-30
申请号：US17138224
申请日：2020-12-30
摘要： This disclosure relates to system and method for enabling a robot to perceive and detect socially interacting groups. Various known systems have limited accuracy due to prevalent rule-driven methods. In case of few data-driven learning methods, they lack datasets with varied conditions of light, occlusion, and backgrounds. The disclosed method and system detect the formation of a social group of people, or, f-formation in real-time in a given scene. The system also detects outliers in the process, i.e., people who are visible but not part of the interacting group. This plays a key role in correct f-formation detection in a real-life crowded environment. Additionally, when a collocated robot plans to join the group it has to detect a pose for itself along with detecting the formation. Thus, the system provides the approach angle for the robot, which can help it to determine the final pose in a socially acceptable manner.
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公开(公告)号：US20210208581A1
公开(公告)日：2021-07-08
申请号：US16988453
申请日：2020-08-07
发明人： Abhijan BHATTACHARYYA , Ashis SAU , Ruddra Dev ROYCHOUDHURY , Hrishav Bakul BARUA , Chayan SARKAR , Sayan PAUL , Brojeshwar BHOWMICK , Arpan PAL , Balamuralidhar PURUSHOTHAMAN
摘要： Robotic platform for tele-presence applications has gained paramount importance, such as for remote meetings, group discussions, and the like and has sought much attention. There exist some robotic platforms for such tele-presence applications, these lack efficacy in communication and interaction between remote person and avatar robot deployed in another geographic location thus adding network overhead. Embodiments of the present disclosure for edge centric communication protocol for remotely maneuvering tele-presence robot in geographically distributed environment. More specifically, edge-centric tele-presence robot architecture is provided for maneuvering tele-presence robot in distributed geographical environment, wherein the architecture provides a framework that implements both cloud and edge-centric systems together with a first communication protocol for communication between a master device and an edge device and a second communication protocol different from the first communication protocol for communication between the edge device and the tele-presence robot to improve robustness and efficacy in communication.
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公开(公告)号：US20210232121A1
公开(公告)日：2021-07-29
申请号：US17007391
申请日：2020-08-31
IPC分类号： G05B19/4155 , B25J9/16
摘要： This disclosure provides systems and methods for robotic task planning when a complex task instruction is provided in natural language. Conventionally robotic task planning relies on a single task or multiple independent or serialized tasks in the task instruction. Alternatively, constraints on space of linguistic variations, ambiguity and complexity of the language may be imposed. In the present disclosure, firstly dependencies between multiple tasks are identified. The tasks are then ordered such that a dependent task is always scheduled for planning after a task it is dependent upon. Moreover, repeated tasks are masked. Thus, resolving task dependencies and ordering dependencies, a complex instruction with multiple interdependent tasks in natural language facilitates generation of a viable task execution plan. Systems and methods of the present disclosure finds application in human-robot interactions.
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