Sanjiv Singh’s research relates to the operation of robots in natural and in some cases, extreme environments. His recent work has two main themes: perception in natural and dynamic environments and multi-agent coordination. Currently he leads efforts in collision avoidance for air vehicles (near earth and between aircraft) and ground vehicles using novel sensors that can look through obscurants. Another research area seeks to provide accurate tracking and situational awareness in dynamic environments, such as those encountered in search and rescue, using radio signals to compute location. This research seeks to assist emergency response personnel in their operations. Currently, Singh leads a four-year, multi-institutional effort to investigate the use of automation in specialty agriculture. This effort is focused on obtaining high-resolution spatio-temporal data about high value crops in order to increase yield and minimize disease and infestations. The second theme is developing a multirobot architecture to perform complex tasks such as assembly that cannot be performed by a single machine. In this architecture, tasks are distributed between robots and human operators such that the strengths of each can be exploited and control can ‘slide’ effectively between humans and robots. Pursuant to this theme, Singh has developed a number of mobile manipulators to deal with dexterous, perception based manipulation tasks.