Collaboration is a cornerstone of human progress, with collective efforts leading to outcomes that surpass what could be achieved individually. The term groupware, frequently used in early research in computer-supported cooperative work (CSCW), refers to tools specifically designed to support collaborative activities. Historically, emerging technologies have been pivotal in advancing groupware research and facilitating novel approaches to collaboration. For example, over the past three decades, the Internet and related web technologies catalyzed a new era of remote collaboration. Remote collaboration tools were indispensable during the recent global pandemic, and they made remote work possible for a wide range of tasks. However, this period also highlighted a gap in the tools available for remote collaboration in jobs involving physical work, such as manufacturing and healthcare. In parallel, advances in robotic technology have resulted in collaborative robots, or cobots, that are highly capable and designed for safe interaction with humans in shared spaces. Cobots present new opportunities for creating groupware, especially in physical work contexts. Compared to other emerging technologies being explored for similar purposes, such as augmented and virtual reality, cobots can uniquely leverage their physical form to extend human ability in remote spaces. Thus, my research explores this nascent and promising paradigm of robotic groupware through the development and evaluation of a robotic camera system called Periscope to support remote and real-time human collaboration. In this dissertation, I contextualize my research in scenarios where experts assist novices in manual assembly tasks. Using the Periscope system, a worker performs manual tasks with guidance from a remote expert who views the workspace through a camera mounted on a cobot arm co-located with the worker. The dynamic view provided by the robotic camera allows both collaborators to share task-relevant visual information and develop a mutual understanding during the collaboration process. This dissertation describes the design, usage, and application of the Periscope system with the aim of characterizing a novel and promising point in the design space of robotic groupware. First, I describe the system’s design with an emphasis on the shared control of the camera by the worker, the expert, and the robot. Our approach is key to leveraging the advanced capabilities of cobot platforms without overwhelming users with the tool’s complexity and allowing them to maintain the desired level of control. Next, I describe a human-subjects study aimed at understanding the promise of this shared camera control approach and the system’s ability to support remote collaboration. Qualitative insights from the study, including patterns of use of the system’s features derived from users’ open-ended and natural exploration of the system, offer a valuable understanding of collaborative dynamics within this new paradigm of group work mediated by the Periscope system. Finally, I present a second human-subjects study that involved instructors and trainers of technical skills in order to explore the potential of the Periscope system for facilitating remote workforce training in manufacturing environments. The qualitative insights from this study help characterize real-world applications where a solution like Periscope may be useful and where it may face limitations. The work presented in this dissertation translates concepts from the CSCW and robotics literature into an end-to-end, operational robotic groupware system and delivers valuable contributions to both communities. For the CSCW community, this research broadens the scope of work supported by groupware by leveraging the unique capabilities of cobot platforms. For the robotics community, it demonstrates the feasibility of a novel application of cobots and the potential for new paradigms of collaborative work.