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                                                                                   technologies completely autonomous
                                                                                   operations in unstructed terrains and
                                                                                   harsh environmental conditions. Also,
                                                                                   advances in machine learning is essential
                                                                                   to reduce the cognitive burden on
                                                                                   operators, enhance efficiency of machine-
                                                                                   human interactions, and enable more
                                                                                   advanced operations, such as manned and
                                                                                   unmanned teaming.
                                                                                   Other key technology focus areas
                                                                                   include the enhancement of high-mobility
                                                                                   and all-terrain attributes; continued
                                                                                   development of power train and battery
                                                                                   technologies to support increased
                                                                                   endurance; navigation and timing
                                                                                   technologies that do not rely on space-
                                                                                   based signals; secure communications
                                                                                   under NLOS conditions; automatic target
             A conceptual model of the proposed UCGV                               classification, tracking and engagement;

for the new UCGV in the third phase.         future road map for UGV developments  and operations in swarms.
                                                                                   As the future battles will be fought
In addition to the RCWS with in CVRDE is also shown. Significant spin- predominantly by unmanned or a by a
enhanced fire power, this new UCGV is off developments for internal security composite collaborative teams of manned-
expected to have a hard kill APS, high applications will also be part of the unmanned systems, countries with
power DEW, SAMs, attitude control roadmap.                                         technological competence in this very
system and active camouflage.                Current systems use varying critical field will decide the outcome of all
                                             combinations of tele-operation and such future armed conflicts. Faced with
UGV Roadmap for CVRDE assisted autonomy for the systems to potentially hostile situations both inside
                                             follow pre-defined routes, automatically and outside our country ranging from a
Though the current technologies detecting and avoiding obstacles along fully fledged war to low intensity conflicts,
are based on tele-operation and limited that route. Future UGV applications CVRDE/DRDO should rigorously pursue
autonomy, the technologies developed will require the development of more a long term plan for the development and
by CVRDE can be extended further for powerful technologies for autonomous deployment of UGVs to guard our borders
the development of UGVs capable of navigation, starting in the near term and to make our country self-sufficient in
undertaking more complex missions with refinement of leader-follower this very critical technological domain.
in dynamic and uncertain battlefield
scenarios. Based on the future battlefield
scenarios and the increasing pace
of technological developments, it is
projected that UGV technologies will
move from the current tele-operated
UGVs to fully autonomous network-
centric UGVs by 2050. Accordingly, the
UGV developments in CVRDE will also
migrate to more evolved UGVs capable of
complex missions in uncertain battlefield
conditions.
The missions undertaken by the UGV
will also shift from a passive logistics/
support role to highly active weaponised
combat missions. Combat UGVs will
initially have only defensive capabilities,
but will rapidly evolve into a potent
platform for offensive military operations
deep inside the enemy territory. The         CVRDE’s road map for the development of UGVs

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