Schoppers, M. 1995. The use of dynamics in an intelligent controller for a space faring rescue robot. Artificial Intelligence 73(2):175--230.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....utility given this information (Williams Nayak 1996) On the other hand, MI exports to Exec only the most likely state of the world. Exec acts as if this state were the true state, and responds quickly in the face of new information. Hence, Exec obeys the rapid feedback principle discussed by Schoppers (1995), and so most likely remains robust in the face of its unmodeled uncertainty. However, the lack of explicit communication of uncertainty and ambiguity between MI and Exec makes it di#cult to write ambiguity resolution procedures in the Exec. At present, such procedures must be either ....

Schoppers, M. 1995. The use of dynamics in an intelligent controller for a space faring rescue robot. Artificial Intelligence 73(2):175--230.

....is an example of a simple iterative macro [MW87] corresponding to a linear recursion. Afterwards, we will introduce our planning system and discuss it in relation to other planning systems as PRODIGY [VCP 95] UCPOP [PW92] graphplan approaches [BF97, KNH97] and universal planning [Sch87, Sch95, CRT98] Our system DPlan is a sound and complete non linear backward planner implemented in LISP. In the fourth part, we will give further examples of learning linear recursive macros, as for example a general solution strategy for the rocket problem with an arbitrary number of objects [VC93b] ....

....for building a tower A; B; C from initial state on(C,B) on(B,A) ct(C) as left most path, from initial state on(B,C) ct(A) ct(B) as partial path and so on. Note that representing action sequences for each possible state differs from the state action tables used in universal planning [Sch87, Sch95] We can calculate action sequences because DPlan is restricted to deterministic worlds. That is, state changes can only occur as result to an operation application and there are no possible influences from other agents or the environment. Thus, it cannot be the case, that one of the planning ....

M. Schoppers. The use of dynamics in an intelligent controller for a space faring rescue robot. Artificial Intelligence, 73(1-2):175--230, 1995.

....for a control rule (in its control module) whose LHS is true and executes its RHS. Reactive control modules were discussed in the domain of controlling mobile robots in [Fir87, GL87, Bro86] and in the papers in the collection [Mae91a] They were also discussed in [Dru86, Dru89, DB90, DBS94, Nil94, Sch95, Sch89b] for other domains. Some of the other research regarding the role of reactivity in planning and execution is described in [LHM91, Mus94, RLU90, McD90, Mit90] The main advantage of the reactive approach is that after sensing (or making observations) the agent need not spend a lot of ....

....and Backstorm [JB96] formally show that universal plans which run in polynomial time and are of polynomial size can not satisfy the condition that if the problem has a solution, then the universal plan will find a solution in a finite number of steps. On the other hand Schoppers in [Sch94, Sch95] shows why the expected state space explosion in Universal plans does not happen in many realistic domains where the fluents are often not independent of each other. Another formal treatment of universal plans is done in [Sel94] 42 The sufficiency conditions about our control modules guarantee ....

[Article contains additional citation context not shown here]

M. Schoppers. The use of dynamics in an intelligent controller for a space-faring rescue robot. Artificial Intelligence, 73:175-- 230, 1995.

....looks for a control rule (in its control module) whose LHS is true and executes its RHS. Reactive control modules were discussed in the domain of controlling mobile robots in [Fir87,GL87,Bro86] and in the papers in the collection [Mae91] They were also discussed in [Dru86,Dru89,DB90,DBS94,Nil94,Sch95,Sch89b] for other domains. Some of the other research regarding the role reactivity in planning and execution is described in [LHM91,Mus94,RLU90,McD90,Mit90] The main advantage of the reactive approach is that after sensing (or making observations) the agent need not spend a lot of time in ....

....sensing. Special sensing actions will appear as an action in the then part of a control rule and as a sensing action in a conditional plan [Lev96] In the next few sections of this paper we consider control modules with special sensing actions which were earlier used in the EVAR system in [Sch95] and formulate their correctness with respect to action theories that allow knowledge producing actions [Moo85,SL93,LTM97] A plan based on such a theory could be a conditional plan [Lev96] and may achieve knowledge goals [GEW96,GW96] We also present sufficiency conditions for correctness of ....

[Article contains additional citation context not shown here]

M. Schoppers. The use of dynamics in an intelligent controller for a space-faring rescue robot. Artificial Intelligence, 73:175--230, 1995.

....utility given this information (Williams Nayak 1996) On the other hand, MI exports to Exec only the most likely state of the world. Exec acts as is this state were the true state, and responds quickly in the face of new information. Hence, Exec obeys the rapid feedback principle discussed by Schoppers (1995), and so most likely remains robust in the face of its unmodeled uncertainty. However, the lack of explicit communication of uncertainty and ambiguity between MI and Exec makes it difficult to write ambiguity resolution procedures in the Exec. At present, such procedures must be either ....

Schoppers, M. 1995. The use of dynamics in an intelligent controller for a space faring rescue robot.

No context found.

Schoppers, M. 1995. The use of dynamics in an intelligent controller for a space faring rescue robot. Artificial Intelligence 73(2):175--230.

No context found.

Schoppers, M. 1995. The use of dynamics in an intelligent controller for a space faring rescue robot. Artificial Intelligence 73(2):175--230.

No context found.

Schoppers, M. 1995. The use of dynamics in an intelligent controller for a space faring rescue robot. Artificial Intelligence 73(2):175--230.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC